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<blip:puredescription>As an Intel Application Engineer, Yannis Minadakis works with game developers to analyze game performance. In this video he describes his experience with Intel&amp;#174; Graphics Performance Analyzers and what he uses to analyze games.</blip:puredescription>
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<blip:puredescription>What is the Alan M. Turing Award? In front of Turing's Enigma machine at the Museum of Computer History in Mt.View California, Dr. Andrew Chien, VP of Intel Research and ACM Fellow talks about Alan M. Turing's contributions and the award named after him. The Turing Award was established to recognize the highest levels of contributions to the field of computing. Intel has been a sponsor of the Turing Award for the past 8 years.</blip:puredescription>
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<description>What is the Alan M. Turing Award? In front of Turing's Enigma machine at the Museum of Computer History in Mt.View California, Dr. Andrew Chien, VP of Intel Research and ACM Fellow talks about Alan M. Turing's contributions and the award named after him. The Turing Award was established to recognize the highest levels of contributions to the field of computing. Intel has been a sponsor of the Turing Award for the past 8 years.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/IOF5iQxc55Y" height="1" width="1"/&gt;</description>
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<pubDate>Thu, 02 Jul 2009 19:37:09 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>What is the Alan M. Turing Award? In front of Turing's Enigma machine at the Museum of Computer History in Mt.View California, Dr. Andrew Chien, VP of Intel Research and ACM Fellow talks about Alan M. Turing's contributions and the award named after him. </itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>What is the Alan M. Turing Award? In front of Turing's Enigma machine at the Museum of Computer History in Mt.View California, Dr. Andrew Chien, VP of Intel Research and ACM Fellow talks about Alan M. Turing's contributions and the award named after him. The Turing Award was established to recognize the highest levels of contributions to the field of computing. Intel has been a sponsor of the Turing Award for the past 8 years.</itunes:summary><feedburner:origLink>http://blip.tv/file/2313093</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/McZDBZ2zU0M/Intel_SW-AlanMTuringAwardRecognizingExcellence481.mp4" length="40394393" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-AlanMTuringAwardRecognizingExcellence481.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription> Last year, Intel and Microsoft funded the establishment of a Universal Parallel Computing Research Center (UPCRC) at the University of Illinois at Urbana-Champaign with the goal of bringing parallel computing applications to the mainstream. We demonstrate such an application that the UPCRC is working to parallelize in which attendees can participate in a tele-immersive 3D environment. Participants in two separate spaces engage and interact in a 3D virtual environment to complete tasks or play games such as Tele-Immersive Saber Fencing or Tele-Immersive Jump Rope. for more information on this visit: www.upcrc.illinois.edu also make sure to visit www.intel.com/research to see more Intel sponsores research</blip:puredescription>
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<description>Last year, Intel and Microsoft funded the establishment of a Universal Parallel Computing Research Center (UPCRC) at the University of Illinois at Urbana-Champaign with the goal of bringing parallel computing applications to the mainstream. We demonstrate such an application that the UPCRC is working to parallelize in which attendees can participate in a tele-immersive 3D environment. Participants in two separate spaces engage and interact in a 3D virtual environment to complete tasks or play games such as Tele-Immersive Saber Fencing or Tele-Immersive Jump Rope. for more information on this visit: www.upcrc.illinois.edu also make sure to visit www.intel.com/research to see more Intel sponsores research&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/7_Irl9kyAlo" height="1" width="1"/&gt;</description>
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<pubDate>Wed, 01 Jul 2009 20:35:33 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle> Last year, Intel and Microsoft funded the establishment of a Universal Parallel Computing Research Center (UPCRC) at the University of Illinois at Urbana-Champaign with the goal of bringing parallel computing applications to the mainstream. We demonstrat</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary> Last year, Intel and Microsoft funded the establishment of a Universal Parallel Computing Research Center (UPCRC) at the University of Illinois at Urbana-Champaign with the goal of bringing parallel computing applications to the mainstream. We demonstrate such an application that the UPCRC is working to parallelize in which attendees can participate in a tele-immersive 3D environment. Participants in two separate spaces engage and interact in a 3D virtual environment to complete tasks or play games such as Tele-Immersive Saber Fencing or Tele-Immersive Jump Rope. for more information on this visit: www.upcrc.illinois.edu also make sure to visit www.intel.com/research to see more Intel sponsores research</itunes:summary><feedburner:origLink>http://blip.tv/file/2308905</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/d9prvoyA1So/Intel_SW-HumanCentricVisionOfConsumerApplications425.mp4" length="34163457" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-HumanCentricVisionOfConsumerApplications425.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>As video cameras are integrated into more and more devices from laptops to phones, computer vision capabilities have become increasingly attractive to enable applications such as gesture-based user interfaces and augmented reality. We demonstrate a functional, reconfigurable hardware accelerator to enable advanced vision capabilities on mobile devices. This research from Intel Labs, St. Petersburg explores the automated design of reconfigurable accelerators based on tools-aided application analysis targeting computationally-intensive media workloads such as the SURF object recognition algorithm. </blip:puredescription>
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<description>As video cameras are integrated into more and more devices from laptops to phones, computer vision capabilities have become increasingly attractive to enable applications such as gesture-based user interfaces and augmented reality. We demonstrate a functional, reconfigurable hardware accelerator to enable advanced vision capabilities on mobile devices. This research from Intel Labs, St. Petersburg explores the automated design of reconfigurable accelerators based on tools-aided application analysis targeting computationally-intensive media workloads such as the SURF object recognition algorithm.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/Y1w97l_08Mg" height="1" width="1"/&gt;</description>
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<pubDate>Wed, 01 Jul 2009 20:35:31 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>As video cameras are integrated into more and more devices from laptops to phones, computer vision capabilities have become increasingly attractive to enable applications such as gesture-based user interfaces and augmented reality. We demonstrate a functi</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>As video cameras are integrated into more and more devices from laptops to phones, computer vision capabilities have become increasingly attractive to enable applications such as gesture-based user interfaces and augmented reality. We demonstrate a functional, reconfigurable hardware accelerator to enable advanced vision capabilities on mobile devices. This research from Intel Labs, St. Petersburg explores the automated design of reconfigurable accelerators based on tools-aided application analysis targeting computationally-intensive media workloads such as the SURF object recognition algorithm. </itunes:summary><feedburner:origLink>http://blip.tv/file/2308904</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/o1SmVsMtvDU/Intel_SW-ComputerVisionAccelerator834.mp4" length="23553228" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-ComputerVisionAccelerator834.mp4</feedburner:origEnclosureLink></item>
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<title>Parallel Programming Tools: Enhancing Computer Vision</title>
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<blip:puredescription>Creating applications that take advantage of multi-core hardware requires new approaches in parallel programming. We show how innovative tools like Intel&amp;#174; Concurrent Collections and Intel's Ct Technology can aid the development of applications such as computer vision. Concurrent Collections for C++ is a new language, available on whatif.intel.com, that helps to create robust parallel applications. Ct was born as an Intel research effort to extend C/C++ for data-parallel programming. Driven by market demand, Ct Technology is now on its way to becoming an Intel product.For more information visit: www.intel.com/software/dataparallel</blip:puredescription>
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<description>Creating applications that take advantage of multi-core hardware requires new approaches in parallel programming. We show how innovative tools like Intel&amp;#174; Concurrent Collections and Intel's Ct Technology can aid the development of applications such as computer vision. Concurrent Collections for C++ is a new language, available on whatif.intel.com, that helps to create robust parallel applications. Ct was born as an Intel research effort to extend C/C++ for data-parallel programming. Driven by market demand, Ct Technology is now on its way to becoming an Intel product.For more information visit: www.intel.com/software/dataparallel&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/sdYx5N_JOBE" height="1" width="1"/&gt;</description>
<itunes:duration>75</itunes:duration>
<comments>http://blip.tv/file/2308903</comments>
<category>Technology</category>
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<category>c/c++</category>
<category>intel</category>
<category>software</category>
<category>network</category>
<category>computer</category>
<category>vision</category>
<category>parallel</category>
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<category>multi-core</category>
<category>multicore</category>
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<pubDate>Wed, 01 Jul 2009 20:35:20 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Creating applications that take advantage of multi-core hardware requires new approaches in parallel programming. We show how innovative tools like Intel&amp;#174; Concurrent Collections and Intel's Ct Technology can aid the development of applications such a</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Creating applications that take advantage of multi-core hardware requires new approaches in parallel programming. We show how innovative tools like Intel&amp;#174; Concurrent Collections and Intel's Ct Technology can aid the development of applications such as computer vision. Concurrent Collections for C++ is a new language, available on whatif.intel.com, that helps to create robust parallel applications. Ct was born as an Intel research effort to extend C/C++ for data-parallel programming. Driven by market demand, Ct Technology is now on its way to becoming an Intel product.For more information visit: www.intel.com/software/dataparallel</itunes:summary><feedburner:origLink>http://blip.tv/file/2308903</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/oq4Q1M8DQrM/Intel_SW-ParallelProgrammingToolsEnhancingComputerVision994.mp4" length="14634975" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-ParallelProgrammingToolsEnhancingComputerVision994.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Soft-body collisions are hard to offload since they involve complex pointer-containing data-strucutres. Currently, no software system that we know off can offload soft-body simulations. This is an interactive demo that will show a prototype of Sony's, open source, bullet physics collision detection engine in which the soft-body collisions have be offloaded to the LRB side. This technology is first of its kind and a similar demo will be shown in GDC 2009Learn more about Visual Computing by visiting the Intel Software Network Visual Computing Community: www.intel.com/software/graphics</blip:puredescription>
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<description>Soft-body collisions are hard to offload since they involve complex pointer-containing data-strucutres. Currently, no software system that we know off can offload soft-body simulations. This is an interactive demo that will show a prototype of Sony's, open source, bullet physics collision detection engine in which the soft-body collisions have be offloaded to the LRB side. This technology is first of its kind and a similar demo will be shown in GDC 2009Learn more about Visual Computing by visiting the Intel Software Network Visual Computing Community: www.intel.com/software/graphics&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/Y5RWbha3wdo" height="1" width="1"/&gt;</description>
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<pubDate>Wed, 01 Jul 2009 20:35:19 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Soft-body collisions are hard to offload since they involve complex pointer-containing data-strucutres. Currently, no software system that we know off can offload soft-body simulations. This is an interactive demo that will show a prototype of Sony's, ope</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Soft-body collisions are hard to offload since they involve complex pointer-containing data-strucutres. Currently, no software system that we know off can offload soft-body simulations. This is an interactive demo that will show a prototype of Sony's, open source, bullet physics collision detection engine in which the soft-body collisions have be offloaded to the LRB side. This technology is first of its kind and a similar demo will be shown in GDC 2009Learn more about Visual Computing by visiting the Intel Software Network Visual Computing Community: www.intel.com/software/graphics</itunes:summary><feedburner:origLink>http://blip.tv/file/2308902</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/Q8WIk7KNzno/Intel_SW-MYOEnablingSoftbodyCollisionsOnCPULRBPlatform614.mp4" length="19843935" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-MYOEnablingSoftbodyCollisionsOnCPULRBPlatform614.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>This demonstration shows an innovative solution to a classic problem: how computer speech recognition can determine whether the user is talking to the computer, or to someone else. Face-tracking software processes video from a camera atop the PC screen to determine whether the user is facing the PC, or looking away. While facing the PC, audio-input and speech-recognition is enabled; while looking away, it's muted. This technique also helps provide coarse end-pointing in a noisy environment. This demo highlights the use of two compute-intensive and highly-parallelizable workloads: image-processing and speech-recognition, and is currently only feasible on multi-core PCs. It's also best-suited as a client-based workload (rather than cloud/server-based), due to video bandwidth.To learn more about the research that Intel is involved with please visit: www.intel.com/research</blip:puredescription>
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<description>This demonstration shows an innovative solution to a classic problem: how computer speech recognition can determine whether the user is talking to the computer, or to someone else. Face-tracking software processes video from a camera atop the PC screen to determine whether the user is facing the PC, or looking away. While facing the PC, audio-input and speech-recognition is enabled; while looking away, it's muted. This technique also helps provide coarse end-pointing in a noisy environment. This demo highlights the use of two compute-intensive and highly-parallelizable workloads: image-processing and speech-recognition, and is currently only feasible on multi-core PCs. It's also best-suited as a client-based workload (rather than cloud/server-based), due to video bandwidth.To learn more about the research that Intel is involved with please visit: www.intel.com/research&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/-2VargJA1PM" height="1" width="1"/&gt;</description>
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<category>multicore</category>
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<category>intel</category>
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<category>cycles</category>
<category>glen</category>
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<pubDate>Mon, 29 Jun 2009 20:35:30 +0000</pubDate>

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<blip:puredescription>Virtual worlds are powerful tools for connecting groups of people. At 2007 IDF, Intel and Qwaq, Inc. announced a development partnership on enterprise collaboration, combining Intel's Miramar 3D desktop and Qwaq Forums into a new, virtual collaboration environment, thus enabling groups of people to connect with groups of documents. Now, Intel and Qwaq are bringing 3D visualizations into the mix, enabling visual analytics usage models within a collaborative work environment, thus connecting groups of people with large amounts of complex information for collaborative sense-making and understanding.To learn more about this visit: www.intel.com/research or www.qwaq.com</blip:puredescription>
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<description>Virtual worlds are powerful tools for connecting groups of people. At 2007 IDF, Intel and Qwaq, Inc. announced a development partnership on enterprise collaboration, combining Intel's Miramar 3D desktop and Qwaq Forums into a new, virtual collaboration environment, thus enabling groups of people to connect with groups of documents. Now, Intel and Qwaq are bringing 3D visualizations into the mix, enabling visual analytics usage models within a collaborative work environment, thus connecting groups of people with large amounts of complex information for collaborative sense-making and understanding.To learn more about this visit: www.intel.com/research or www.qwaq.com&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/P3BZMhi1Tsc" height="1" width="1"/&gt;</description>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Virtual worlds are powerful tools for connecting groups of people. At 2007 IDF, Intel and Qwaq, Inc. announced a development partnership on enterprise collaboration, combining Intel's Miramar 3D desktop and Qwaq Forums into a new, virtual collaboration en</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Virtual worlds are powerful tools for connecting groups of people. At 2007 IDF, Intel and Qwaq, Inc. announced a development partnership on enterprise collaboration, combining Intel's Miramar 3D desktop and Qwaq Forums into a new, virtual collaboration environment, thus enabling groups of people to connect with groups of documents. Now, Intel and Qwaq are bringing 3D visualizations into the mix, enabling visual analytics usage models within a collaborative work environment, thus connecting groups of people with large amounts of complex information for collaborative sense-making and understanding.To learn more about this visit: www.intel.com/research or www.qwaq.com</itunes:summary><feedburner:origLink>http://blip.tv/file/2300218</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/OmEzW4j0Tps/Intel_SW-CollaborativeVisualizationInVirtualWorlds224.mp4" length="17257579" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-CollaborativeVisualizationInVirtualWorlds224.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>The inflexibility of the Internet's infrastructure is a growing concern within the computer science community. Simply put - the Internet's original designers never anticipated its astounding success. Consequently, traditional network design built networks using specialized equipment (routers) with -hard coded&amp;#8214; support for a pre-defined set of capabilities. This approach can no longer keep pace with the rapidly-evolving demands of new applications. Router Bricks proposes a simple but radical solution - that networks be built from general-purpose computers rather than specialized equipment. The project is building high-speed routers from clusters of servers running open-source software. Ordinary programmers can thus cheaply and rapidly (re)program networks using the platform they are most familiar with-the general-purpose computer</blip:puredescription>
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<description>The inflexibility of the Internet's infrastructure is a growing concern within the computer science community. Simply put - the Internet's original designers never anticipated its astounding success. Consequently, traditional network design built networks using specialized equipment (routers) with -hard coded&amp;#8214; support for a pre-defined set of capabilities. This approach can no longer keep pace with the rapidly-evolving demands of new applications. Router Bricks proposes a simple but radical solution - that networks be built from general-purpose computers rather than specialized equipment. The project is building high-speed routers from clusters of servers running open-source software. Ordinary programmers can thus cheaply and rapidly (re)program networks using the platform they are most familiar with-the general-purpose computer&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/hdyNvE5H0rQ" height="1" width="1"/&gt;</description>
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<category>Technology</category>
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<pubDate>Mon, 29 Jun 2009 20:35:27 +0000</pubDate>

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<blip:puredescription>Intel&amp;#174; Concurrent Collections (CnC) for C/C++ provides a mechanism for developing a C++ program that will execute in parallel while allowing the application developer to ignore issues of parallelism such as low-level threading constructs or the scheduling and distribution of computations. The model allows the programmer to specify high-level computational steps including inputs and outputs without imposing unnecessary ordering on their execution. Code within the computational steps is written using standard serial constructs of the C++ language. CnC is currently available for download from http://whatif.intel.com and we encourage C++ developers to download now and give us feedback.</blip:puredescription>
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<blip:puredescription>With the emering power of upcoming many-core architectures real-time ray tracing comes closer and closer to the desktop. In this research demo "Quake Wars: Ray Traced" Intel Research Scientist, Daniel Pohl shows the benefits of using this rendering technology over the traditional approach. </blip:puredescription>
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<blip:puredescription>Parallel Programming Talk Every Tuesday at 8:00AM PST (16:00GMT) Join Hosts Aaron Tersteeg, the Intel Software Network Parallel Programming and Multi-Core community , and Dr. Clay Breshears, Master of the Parallel Universe as they discuss all things parallel. What started out as a fun idea has ramped into a growing community of interest. The format is simple; a few news announcements followed by a conversation about parallel programming tools, technology or application. Guest on the show have included Microsoft, Interactive Supercomputing, Axceleon, Intel Engineers and Academics. The show runs 30min and is recorded over a phone line, simple enough to have anyone in the world as a guest on the show. The show streams live using the free Blog Talk Radio network and is available for replay or download via Intel.com and iTunes. Starting on June 9th, 2009 you will also be able to watch as Parallel Programming Talk is streamed live over Intel Software Network TV!The first show of every month we are dedicating to listener questions. Send in your questions to parallelprogrammingtalk@intel.com and tune in to listen to which ones are picked.Read the Show Note for past shows on Aaron Tersteeg's blog.Check the Parallel Programming Talk show site for a schedule of upcoming segments.Remember to join us on Intel Software Network TV to see Aaron and Clay tackle the parallel universe, every Tuesday at 8AM (1600GMT)</blip:puredescription>
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<description>Parallel Programming Talk Every Tuesday at 8:00AM PST (16:00GMT) Join Hosts Aaron Tersteeg, the Intel Software Network Parallel Programming and Multi-Core community , and Dr. Clay Breshears, Master of the Parallel Universe as they discuss all things parallel. What started out as a fun idea has ramped into a growing community of interest. The format is simple; a few news announcements followed by a conversation about parallel programming tools, technology or application. Guest on the show have included Microsoft, Interactive Supercomputing, Axceleon, Intel Engineers and Academics. The show runs 30min and is recorded over a phone line, simple enough to have anyone in the world as a guest on the show. The show streams live using the free Blog Talk Radio network and is available for replay or download via Intel.com and iTunes. Starting on June 9th, 2009 you will also be able to watch as Parallel Programming Talk is streamed live over Intel Software Network TV!The first show of every month we are dedicating to listener questions. Send in your questions to parallelprogrammingtalk@intel.com and tune in to listen to which ones are picked.Read the Show Note for past shows on Aaron Tersteeg's blog.Check the Parallel Programming Talk show site for a schedule of upcoming segments.Remember to join us on Intel Software Network TV to see Aaron and Clay tackle the parallel universe, every Tuesday at 8AM (1600GMT)&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/yoWqXYwoE0M" height="1" width="1"/&gt;</description>
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<pubDate>Wed, 24 Jun 2009 00:35:18 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Parallel Programming Talk Every Tuesday at 8:00AM PST (16:00GMT) Join Hosts Aaron Tersteeg, the Intel Software Network Parallel Programming and Multi-Core community , and Dr. Clay Breshears, Master of the Parallel Universe as they discuss all things paral</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Parallel Programming Talk Every Tuesday at 8:00AM PST (16:00GMT) Join Hosts Aaron Tersteeg, the Intel Software Network Parallel Programming and Multi-Core community , and Dr. Clay Breshears, Master of the Parallel Universe as they discuss all things parallel. What started out as a fun idea has ramped into a growing community of interest. The format is simple; a few news announcements followed by a conversation about parallel programming tools, technology or application. Guest on the show have included Microsoft, Interactive Supercomputing, Axceleon, Intel Engineers and Academics. The show runs 30min and is recorded over a phone line, simple enough to have anyone in the world as a guest on the show. The show streams live using the free Blog Talk Radio network and is available for replay or download via Intel.com and iTunes. Starting on June 9th, 2009 you will also be able to watch as Parallel Programming Talk is streamed live over Intel Software Network TV!The first show of every month we are dedicating to listener questions. Send in your questions to parallelprogrammingtalk@intel.com and tune in to listen to which ones are picked.Read the Show Note for past shows on Aaron Tersteeg's blog.Check the Parallel Programming Talk show site for a schedule of upcoming segments.Remember to join us on Intel Software Network TV to see Aaron and Clay tackle the parallel universe, every Tuesday at 8AM (1600GMT)</itunes:summary><feedburner:origLink>http://blip.tv/file/2277809</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/5l5bFglBg-k/Intel_SW-ParallelProgrammingTalkPromo4886.mp4" length="12095153" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-ParallelProgrammingTalkPromo4886.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Meet the team who has brought you the Intel Software Network (intel.com/software). This is the first in a series of videos that will introduce many of the folks who are behind building a community of software developers around multicore, parallel programming, visual computing, graphics, gaming, mobility and more -- helping software developers write better code. Visit the Intel Software Network www.intel.com/software. Watch our videos, join our Facebook Fan Page (http://bit.ly/ISNonFB), and participate!</blip:puredescription>
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<description>Meet the team who has brought you the Intel Software Network (intel.com/software). This is the first in a series of videos that will introduce many of the folks who are behind building a community of software developers around multicore, parallel programming, visual computing, graphics, gaming, mobility and more -- helping software developers write better code. Visit the Intel Software Network www.intel.com/software. Watch our videos, join our Facebook Fan Page (http://bit.ly/ISNonFB), and participate!&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/pLrxsB-Ykl8" height="1" width="1"/&gt;</description>
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<comments>http://blip.tv/file/2277392</comments>
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<pubDate>Tue, 23 Jun 2009 22:24:39 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Meet the team who has brought you the Intel Software Network (intel.com/software). This is the first in a series of videos that will introduce many of the folks who are behind building a community of software developers around multicore, parallel programm</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Meet the team who has brought you the Intel Software Network (intel.com/software). This is the first in a series of videos that will introduce many of the folks who are behind building a community of software developers around multicore, parallel programming, visual computing, graphics, gaming, mobility and more -- helping software developers write better code. Visit the Intel Software Network www.intel.com/software. Watch our videos, join our Facebook Fan Page (http://bit.ly/ISNonFB), and participate!</itunes:summary><feedburner:origLink>http://blip.tv/file/2277392</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/A6TIF2KNe3k/Intel_SW-IntelSoftwareNetworkMeetTheTeam141.mp4" length="5953083" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-IntelSoftwareNetworkMeetTheTeam141.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Get a behind the scenes glimpse of Matt Groener &amp;#8211; Manager of the engineering team of Intel Software Network site (http://intel.com/software) Matt manages the innovative team that develops and maintains the Intel Software Network website and its myriad of applications. Matt is an avid cyclist and voider of warranties. If you want to find what that means drop him a line at matt (dot) groener (at) intel (dot) com. Or join us on the Intel Software Network Facebook Fan page: http://bit.ly/ISNonFB.</blip:puredescription>
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<description>Get a behind the scenes glimpse of Matt Groener &amp;#8211; Manager of the engineering team of Intel Software Network site (http://intel.com/software) Matt manages the innovative team that develops and maintains the Intel Software Network website and its myriad of applications. Matt is an avid cyclist and voider of warranties. If you want to find what that means drop him a line at matt (dot) groener (at) intel (dot) com. Or join us on the Intel Software Network Facebook Fan page: http://bit.ly/ISNonFB.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/s2Zma2A5bcY" height="1" width="1"/&gt;</description>
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<blip:puredescription>Meet Josh Bancroft &amp;#8211; Producer Intel Software Network TV and Gadget GeekJosh is the producer for the recently launched live TV on Intel Software Network (http://intel.com/software/TV). Josh is also a storyteller. He finds cool new things, use them to make his life better, and teach others to do the same. Participate in the Intel Software Network (http://intel.com/software), follow us on Twitter @IntelSoftware and join our Facebook Fanpage (http://bit.ly/ISNonFB)</blip:puredescription>
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<description>Meet Josh Bancroft &amp;#8211; Producer Intel Software Network TV and Gadget GeekJosh is the producer for the recently launched live TV on Intel Software Network (http://intel.com/software/TV). Josh is also a storyteller. He finds cool new things, use them to make his life better, and teach others to do the same. Participate in the Intel Software Network (http://intel.com/software), follow us on Twitter @IntelSoftware and join our Facebook Fanpage (http://bit.ly/ISNonFB)&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/NtsRraLbbNk" height="1" width="1"/&gt;</description>
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<pubDate>Tue, 23 Jun 2009 21:35:26 +0000</pubDate>

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<blip:puredescription>Aaron Tersteeg &amp;#8211; Community manager parallel programming and multicore-- is a constant learner, enthusiastic teacher...skier, cyclist, chef, fly caster, volunteer, Orangeman, investor, media junkie and beer drinking party guy. Aaron launched the mobile software development community in the summer of 2006 and is now the community manager for Parallel Programming and Multi-Core. In his current role Aaron&amp;#8217;s focus is software development evangelist and geek blogger. His wife likes to tell people at parties that he blogs for a living. It is much more than that -- it lets him share his ideas and hear what developers have to say. Participate in the Intel Software Network (intel.com/software), follow Aaron on Twitter @Tersteeg, and join us on our Facebook Fanpage (http://bit.ly/ISNonFB), and listen to his Parallel Programming talk on Intel Software Network TV (http://intel.com/software/TV)</blip:puredescription>
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<pubDate>Tue, 23 Jun 2009 21:35:25 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Aaron Tersteeg &amp;#8211; Community manager parallel programming and multicore-- is a constant learner, enthusiastic teacher...skier, cyclist, chef, fly caster, volunteer, Orangeman, investor, media junkie and beer drinking party guy. Aaron launched the mobi</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Aaron Tersteeg &amp;#8211; Community manager parallel programming and multicore-- is a constant learner, enthusiastic teacher...skier, cyclist, chef, fly caster, volunteer, Orangeman, investor, media junkie and beer drinking party guy. Aaron launched the mobile software development community in the summer of 2006 and is now the community manager for Parallel Programming and Multi-Core. In his current role Aaron&amp;#8217;s focus is software development evangelist and geek blogger. His wife likes to tell people at parties that he blogs for a living. It is much more than that -- it lets him share his ideas and hear what developers have to say. Participate in the Intel Software Network (intel.com/software), follow Aaron on Twitter @Tersteeg, and join us on our Facebook Fanpage (http://bit.ly/ISNonFB), and listen to his Parallel Programming talk on Intel Software Network TV (http://intel.com/software/TV)</itunes:summary><feedburner:origLink>http://blip.tv/file/2277183</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/GUProsPH3Co/Intel_SW-MeetAaronTersteegIntelSoftwareNetwork398.mp4" length="2740650" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-MeetAaronTersteegIntelSoftwareNetwork398.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Meet Arti Gupta, community manager for Games Development on the Intel Software Network team. She joined Intel in 1998 and in her 10 year tenure has worked on a variety of software engineering projects as a developer, architect, and project manager. She has now turned her focus on community management for the Intel Software Network site. Arti loves to travel, ski and cook and is a full time mom. Participate in the Intel Software Network communities (http://intel.com/software), and join our Facebook Fan page (http://bit.ly/ISNonFB)</blip:puredescription>
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<pubDate>Tue, 23 Jun 2009 20:35:31 +0000</pubDate>

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<blip:puredescription>Meet Bill Pearson who manages Intel Software Network team. He enjoys working with remarkable people and technology. He joined Intel in 1997 after years of working on computer systems in airplanes. Bill spents his free time reading, taking pictures, dabbling in music, and exploring technology. Participate in the Intel Software Network (http://intel.com/software) and join our Facebook Fanpage (http://bit.ly/ISNonFB)</blip:puredescription>
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<description>Meet Bill Pearson who manages Intel Software Network team. He enjoys working with remarkable people and technology. He joined Intel in 1997 after years of working on computer systems in airplanes. Bill spents his free time reading, taking pictures, dabbling in music, and exploring technology. Participate in the Intel Software Network (http://intel.com/software) and join our Facebook Fanpage (http://bit.ly/ISNonFB)&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/uMWRZlU0d1c" height="1" width="1"/&gt;</description>
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<description>GPA consists of two main tools - System Analyzer and Frame Analyzer. In this video, Chris Cormack walks through key features and basic usage of both tools. To find out more visit the Intel&amp;#174; Graphics Performance Analyzers page.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/PzDENAbHwmM" height="1" width="1"/&gt;</description>
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<blip:puredescription>Introducing Intel&amp;#174; Software Network TV, our new interactive TV channel on the web. You can watch live as well as on-demand shows 24/7, see live special event coverage, and take a peek &amp;#8216;behind the scenes.' Drop in to the online chat during a live show and say &amp;#8216;Hi.' We're kicking off with a lineup of regular live shows on Multi-Core and Parallel Programming, Visual Computing, and Teaching Parallelism, and we've got some new show ideas in the pipeline for later this year.You can watch any time at http://intel.com/software/tv - if we're live, you'll see the live show. If not, you'll see encore presentations of past shows, or you can browse the On Demand section to catch up on episodes you might have missed.Mark your calendars! Intel Software Network TV goes On the Air on Tuesday, June 9th, 2009 at 8AM Pacific. Here's the launch day lineup, featuring our regular shows, and some special guests:Parallel Programming Talk, Every Tuesday at 8AM PacificJoin hosts Aaron Tersteeg and Dr. Clay Breshears every Tuesday as they continue their wildly successful talk show on all things parallel and multi-core. On June 9th, Aaron and Clay will chat with special guest David Patterson of UC Berkeley and UPCRC about the challenges developers face in Parallel Computing today.Visualize This! Every Other Tuesday at 2:30PM PacificIntel Software Network's own Visual Computing Community Managers, Steve Pitzel and Arti Gupta, show you what's new and exciting in the world of graphics, animation, and gaming. On June 9, Steve Pitzel will walk you through the new Artists/Animators community area on Intel Software Network, and show off the resources available there.Teach Parallel, Every Other Tuesday at 10AM Pacific Join hosts Paul Steinberg and Professor Tom Murphy of Contra Costa College as they tackle the challenges of teaching Parallel Programming in academia and computer science.More Shows Coming Soon!We've got a few other show ideas in the pipeline that will be ready soon. Stay tuned, and if you're a developer, let us know what YOU'D like to see on Intel Software Network TV.We're building this exciting new 24/7 developer TV channel for you, and we'd love to hear what you think. Contact Josh Bancroft (joshua.bancroft@intel.com) if you have any feedback, suggestions, or ideas, and don't forget to tune in and join us on the air!</blip:puredescription>
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<blip:puredescription>Parallel Programming Talk  Every Tuesday at 8:00AM PST (16:00GMT) Join Hosts Aaron Tersteeg, the Intel Software Network Parallel Programming and Multi-Core community , and Dr. Clay Breshears, Master of the Parallel Universe as they discuss all things parallel. What started out as a fun idea has ramped into a growing community of interest. The format is simple; a few news announcements followed by a conversation about parallel programming tools, technology or application. Guest on the show have included Microsoft, Interactive Supercomputing, Axceleon, Intel Engineers and Academics. The show runs 30min and is recorded over a phone line, simple enough to have anyone in the world as a guest on the show. The show streams live using the free Blog Talk Radio network and is available for replay or download via Intel.com and iTunes. Starting on June 9th, 2009 you will also be able to watch as Parallel Programming Talk is streamed live over Intel Software Network TV!The first show of every month we are dedicating to listener questions. Send in your questions to parallelprogrammingtalk@intel.com and tune in to listen to which ones are picked.Read the Show Note for past shows on Aaron Tersteeg's blog.Check the Parallel Programming Talk show site for a schedule of upcoming segments.Remember to join us on Intel Software Network TV to see Aaron and Clay tackle the parallel universe, every Tuesday at 8AM (1600GMT)</blip:puredescription>
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<blip:puredescription>Parallel Programming Talk  Every Tuesday at 8:00AM PST (16:00GMT) Join Hosts Aaron Tersteeg, the Intel Software Network Parallel Programming and Multi-Core community , and Dr. Clay Breshears, Master of the Parallel Universe as they discuss all things parallel. What started out as a fun idea has ramped into a growing community of interest. The format is simple; a few news announcements followed by a conversation about parallel programming tools, technology or application. Guest on the show have included Microsoft, Interactive Supercomputing, Axceleon, Intel Engineers and Academics. The show runs 30min and is recorded over a phone line, simple enough to have anyone in the world as a guest on the show. The show streams live using the free Blog Talk Radio network and is available for replay or download via Intel.com and iTunes. Starting on June 9th, 2009 you will also be able to watch as Parallel Programming Talk is streamed live over Intel Software Network TV!The first show of every month we are dedicating to listener questions. Send in your questions to parallelprogrammingtalk@intel.com and tune in to listen to which ones are picked.Read the Show Note for past shows on Aaron Tersteeg's blog.Check the Parallel Programming Talk show site for a schedule of upcoming segments.Remember to join us on Intel Software Network TV to see Aaron and Clay tackle the parallel universe, every Tuesday at 8AM (1600GMT)</blip:puredescription>
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<pubDate>Mon, 08 Jun 2009 23:35:27 +0000</pubDate>

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<blip:puredescription>Discover if your game concepts are ready to rise to glory. Enter Level Up 2009 at www.intel.com/software/levelup2009. For the first time, this year&amp;#8217;s contestants will be judged by a panel consisting of pioneering game developers who helped shape the industry (including Sid Meier, Will Wright and Rick Raymo), plus a team of experts from Intel. Enter Level Up 2009, the Intel Visual Adrenaline Game Demo Challenge and compete for glory in any of the three categories: Best Threaded Game, Best Game-On-the-Go, and Best Game Optimized for Intel&amp;#174; Graphics. . </blip:puredescription>
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<pubDate>Fri, 22 May 2009 22:35:24 +0000</pubDate>

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<pubDate>Fri, 22 May 2009 22:35:23 +0000</pubDate>

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<blip:puredescription>Intel Parallel Amplifier Hotspot Analysis: A quick introduction to hotspot analysis with Intel Parallel Amplifier. See how to identify functions that consume the most time and drill down to the source code to find which lines of code have the biggest impact on execution. Quick navigation techniques for moving through the results are also shown. This video is for Windows C++ and C developers beginning to use Intel Parallel Amplifier</blip:puredescription>
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<pubDate>Fri, 15 May 2009 05:35:21 +0000</pubDate>

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<blip:puredescription>Paul Lindberg describes how Intel&amp;#174; Parallel Inspector found critical threading errors in SMOKE demo.</blip:puredescription>
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<pubDate>Fri, 15 May 2009 02:36:00 +0000</pubDate>

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<category>Technology</category>
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<category>Technology</category>
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<category>Technology</category>
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<category>Technology</category>
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<pubDate>Fri, 15 May 2009 02:35:20 +0000</pubDate>

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<blip:puredescription>Justin Rattner, CTO, VP, and Senior Fellow at Intel Corporation, talks about the announcement of the Intel Visual Computing Institute at Saarland University. In addition, Justin discusses future visual computing directions in tools and software with new architectures such as Larrabee.Click here for more information on the Intel Visual Computing Institute</blip:puredescription>
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<description>Justin Rattner, CTO, VP, and Senior Fellow at Intel Corporation, talks about the announcement of the Intel Visual Computing Institute at Saarland University. In addition, Justin discusses future visual computing directions in tools and software with new architectures such as Larrabee.Click here for more information on the Intel Visual Computing Institute&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/2rFCEIkNc2s" height="1" width="1"/&gt;</description>
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<pubDate>Tue, 12 May 2009 20:35:33 +0000</pubDate>

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<blip:puredescription>Steve Paine and Nicole Simon from the MIDMoves tour at South By Southwest look at the new OQO and discuss the software and use cases that made this device so popular with everyone who saw it. To learn more aboit MIDs visit: www.midmoves.comYou can also connect with the Intel Software Network Mobility and Atom Community at: www.intel.com/software</blip:puredescription>
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<description>Steve Paine and Nicole Simon from the MIDMoves tour at South By Southwest look at the new OQO and discuss the software and use cases that made this device so popular with everyone who saw it. To learn more aboit MIDs visit: www.midmoves.comYou can also connect with the Intel Software Network Mobility and Atom Community at: www.intel.com/software&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/X_I75UqAcDo" height="1" width="1"/&gt;</description>
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<pubDate>Wed, 29 Apr 2009 17:35:40 +0000</pubDate>

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<blip:puredescription>Steve Paine from MIDMoves and Jeff Moriarty from Intel show off the UMID M1, which everyone at South By Southwest wanted to see. It's pretty and it's small, but can you type on it?You can learn more about MIDs by visiting: www.midmoves.comYou can also connect with the Intel Mobility and Atom Communities at: www.intel.com/software</blip:puredescription>
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<pubDate>Wed, 29 Apr 2009 17:35:38 +0000</pubDate>

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<blip:puredescription>Steve Paine and Ewan Spence from the MIDMoves tour at South By Southwest look at the Kohjinsha SC3 and the BenQ S6. They examine the ergonomic and form factor considerations of the two devices, and how well they work when you're on the go.To learn more about the MID Moves Tour visit: www.midmoves.comYou can also visit the Intel Software Network Mobility and Atom Communuty at: www.intel.com/software</blip:puredescription>
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<blip:puredescription>John Havens asked Parallel Programming Talk's co-host Aaron Tersteeg to sit down with him at the SXSW Pepsico Speak Easy and talk about his work as a community manager and running a show on the Blog Talk Radio network.http://www.blogtalkradio.com/MulticoreSoftware listen to Aaron's show "Parallel Programming Talk" at 8:00am every Tuesday Morning </blip:puredescription>
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<blip:puredescription>Steve "Chippy" Paine and Ewan Spence show off the UMID Mbook, a small pocketable MID that runs Tweet Deck an Twitter client, which made it the MID of choice for SXSW 2009.Watch a demo of how to twit on a MID at SXSW.For mor info on MIDs visit the Intel Atom and Mobility Community at: www.intel.com/softwareYou can also visit the UMPCPortal.com and Midmoves.com to learn more about these devices</blip:puredescription>
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<blip:puredescription>Chippy does a quick demo of the Clarion Mind MID at SXSW 2009. It a car focused MID running Moblin on a 800 mhz Atom Processor. He does a demo of user interface focused on navigation.Learn more about MIDs by visiting the Intel Software Network Atom and Mobility Community at: www.intel.com/softwareYou can also check out Midmoves.com and UMPCPortal.com</blip:puredescription>
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<blip:puredescription>Remi Arnaud discusses the session that he presented with Project Offset's Ian Lewis at GDC 2009. Time and cost are the demons that plague every game. We have created a content-centered development team, focusing on tools that magnify the impact of each individual artist and remove barriers to creativity. Offset's editor and engine, still in production, are being designed and developed from the ground up to enable fast iteration with a WYSIWYG interface for optimal artist efficiency. In this presentation we will share the steps (and some missteps!) we took to give our artists the tools they need to tame the demons of their production pipeline. </blip:puredescription>
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<description>Remi Arnaud discusses the session that he presented with Project Offset's Ian Lewis at GDC 2009. Time and cost are the demons that plague every game. We have created a content-centered development team, focusing on tools that magnify the impact of each individual artist and remove barriers to creativity. Offset's editor and engine, still in production, are being designed and developed from the ground up to enable fast iteration with a WYSIWYG interface for optimal artist efficiency. In this presentation we will share the steps (and some missteps!) we took to give our artists the tools they need to tame the demons of their production pipeline.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/4CHghNSA0c8" height="1" width="1"/&gt;</description>
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<category>visual</category>
<category>computing</category>
<category>game</category>
<category>developer</category>
<category>conference</category>
<category>collada</category>
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<pubDate>Wed, 15 Apr 2009 00:35:28 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Remi Arnaud discusses the session that he presented with Project Offset's Ian Lewis at GDC 2009. Time and cost are the demons that plague every game. We have created a content-centered development team, focusing on tools that magnify the impact of each in</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Remi Arnaud discusses the session that he presented with Project Offset's Ian Lewis at GDC 2009. Time and cost are the demons that plague every game. We have created a content-centered development team, focusing on tools that magnify the impact of each individual artist and remove barriers to creativity. Offset's editor and engine, still in production, are being designed and developed from the ground up to enable fast iteration with a WYSIWYG interface for optimal artist efficiency. In this presentation we will share the steps (and some missteps!) we took to give our artists the tools they need to tame the demons of their production pipeline. </itunes:summary><feedburner:origLink>http://blip.tv/file/1993931</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/tLWm4VCLC4M/Intel_SW-CreatingTheBestPossibleContentByUsingTheBestPossibleTo582.mp4" length="67178234" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-CreatingTheBestPossibleContentByUsingTheBestPossibleTo582.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Back in August we kicked off a contest to encourage developers to create games that made innovative use of Havok Physics and Animation for PC. We put $40,000 worth of prizes up for grabs and today we've announced the winners!Our panel of five judges from Havok, Intel and university weighed criteria including uniqueness of physics in the game (i.e., is this something that isn't found in today's games?), use of multiple features of Havok Physics, responsiveness, graphics quality and fun. For the second category the criteria included technical accuracy and value to the developer community. Here were the top entries:Category 1 - Most Innovative Use of Physics in a Game1st - Creo Forma by Michael Peddicord, United States 2nd - Derby Attack by Matias Nazareth Goldberg, Argentina 3rd - Breaking the Rules by Riccardo Rosapepe, Italy Best entry by an Irish university student - Rag Cat by Liam Rudel, Simon Coulter and others Category 2 - Best Physics Knowledge Base Entry1st - Introduction to Soft Body Physics by Skeel Keng-Siang Lee, Singapore 2nd - Optimizing a Continuous Rectangle-Rectangle collision Test by Matias Nazareth Goldberg, Argentina These entries are all posted on the contest website, and are available to download and play. Visit http://www.havok.com/contest and check them out!</blip:puredescription>
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<description>Back in August we kicked off a contest to encourage developers to create games that made innovative use of Havok Physics and Animation for PC. We put $40,000 worth of prizes up for grabs and today we've announced the winners!Our panel of five judges from Havok, Intel and university weighed criteria including uniqueness of physics in the game (i.e., is this something that isn't found in today's games?), use of multiple features of Havok Physics, responsiveness, graphics quality and fun. For the second category the criteria included technical accuracy and value to the developer community. Here were the top entries:Category 1 - Most Innovative Use of Physics in a Game1st - Creo Forma by Michael Peddicord, United States 2nd - Derby Attack by Matias Nazareth Goldberg, Argentina 3rd - Breaking the Rules by Riccardo Rosapepe, Italy Best entry by an Irish university student - Rag Cat by Liam Rudel, Simon Coulter and others Category 2 - Best Physics Knowledge Base Entry1st - Introduction to Soft Body Physics by Skeel Keng-Siang Lee, Singapore 2nd - Optimizing a Continuous Rectangle-Rectangle collision Test by Matias Nazareth Goldberg, Argentina These entries are all posted on the contest website, and are available to download and play. Visit http://www.havok.com/contest and check them out!&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/TFUyJzpNWEc" height="1" width="1"/&gt;</description>
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<category>conference</category>
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<category>network</category>
<category>gaming</category>
<category>gdc</category>
<category>visual</category>
<category>adrenaline</category>
<category>physics</category>
<category>innovation</category>
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<category>ricardo</category>
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<pubDate>Tue, 14 Apr 2009 23:35:41 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Back in August we kicked off a contest to encourage developers to create games that made innovative use of Havok Physics and Animation for PC. We put $40,000 worth of prizes up for grabs and today we've announced the winners!Our panel of five judges from </itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Back in August we kicked off a contest to encourage developers to create games that made innovative use of Havok Physics and Animation for PC. We put $40,000 worth of prizes up for grabs and today we've announced the winners!Our panel of five judges from Havok, Intel and university weighed criteria including uniqueness of physics in the game (i.e., is this something that isn't found in today's games?), use of multiple features of Havok Physics, responsiveness, graphics quality and fun. For the second category the criteria included technical accuracy and value to the developer community. Here were the top entries:Category 1 - Most Innovative Use of Physics in a Game1st - Creo Forma by Michael Peddicord, United States 2nd - Derby Attack by Matias Nazareth Goldberg, Argentina 3rd - Breaking the Rules by Riccardo Rosapepe, Italy Best entry by an Irish university student - Rag Cat by Liam Rudel, Simon Coulter and others Category 2 - Best Physics Knowledge Base Entry1st - Introduction to Soft Body Physics by Skeel Keng-Siang Lee, Singapore 2nd - Optimizing a Continuous Rectangle-Rectangle collision Test by Matias Nazareth Goldberg, Argentina These entries are all posted on the contest website, and are available to download and play. Visit http://www.havok.com/contest and check them out!</itunes:summary><feedburner:origLink>http://blip.tv/file/1993812</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/_3-L5wKY3R4/Intel_SW-HavokPhysicsInnovationContest3rdPlaceWinnerBreakingTheR856.mp4" length="68620068" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-HavokPhysicsInnovationContest3rdPlaceWinnerBreakingTheR856.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>As part of a new emphasis on parallelism at all student levels, we have developed curriculum units for each of the three courses in our lower division sequence; the first two focus on the MapReduce approach. Our first course uses Scheme, a language whose emphasis on functional programming techniques fits well with MapReduce, whose name suggests a composition of two higher order functions. While the MapReduce design (we use the open-source Hadoop implementation) is not, in fact, functional - the underlying elegant ideas are obscured by sequential use of iterators - we have created a Scheme interface to Hadoop that hides the messy details. An invocation of (mapreduce;mapper; reducer;base-case;datafile) is almost exactly equivalent to the familiar (reduce; reducer; base-case; (map; mapper; data)) The one complication visible to students is the use of key-value pairs in the data, so that results from the map phase can be distributed among the processors for the reduce phase based on their keys. Using functional programming as the setting for parallelism eliminates the need for students to worry about concurrency control; in this first introduction to the subject, there are no semaphores or other locking constructs, and a substantial source of bugs is eliminated. Brian Harvey, Division of Computer Science, University of California, Berkeley, Berkeley, CA 94720, bh@cs.berkeley.edu</blip:puredescription>
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<description>As part of a new emphasis on parallelism at all student levels, we have developed curriculum units for each of the three courses in our lower division sequence; the first two focus on the MapReduce approach. Our first course uses Scheme, a language whose emphasis on functional programming techniques fits well with MapReduce, whose name suggests a composition of two higher order functions. While the MapReduce design (we use the open-source Hadoop implementation) is not, in fact, functional - the underlying elegant ideas are obscured by sequential use of iterators - we have created a Scheme interface to Hadoop that hides the messy details. An invocation of (mapreduce;mapper; reducer;base-case;datafile) is almost exactly equivalent to the familiar (reduce; reducer; base-case; (map; mapper; data)) The one complication visible to students is the use of key-value pairs in the data, so that results from the map phase can be distributed among the processors for the reduce phase based on their keys. Using functional programming as the setting for parallelism eliminates the need for students to worry about concurrency control; in this first introduction to the subject, there are no semaphores or other locking constructs, and a substantial source of bugs is eliminated. Brian Harvey, Division of Computer Science, University of California, Berkeley, Berkeley, CA 94720, bh@cs.berkeley.edu&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/QeBu1TBQP-Q" height="1" width="1"/&gt;</description>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>As part of a new emphasis on parallelism at all student levels, we have developed curriculum units for each of the three courses in our lower division sequence; the first two focus on the MapReduce approach. Our first course uses Scheme, a language whose </itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>As part of a new emphasis on parallelism at all student levels, we have developed curriculum units for each of the three courses in our lower division sequence; the first two focus on the MapReduce approach. Our first course uses Scheme, a language whose emphasis on functional programming techniques fits well with MapReduce, whose name suggests a composition of two higher order functions. While the MapReduce design (we use the open-source Hadoop implementation) is not, in fact, functional - the underlying elegant ideas are obscured by sequential use of iterators - we have created a Scheme interface to Hadoop that hides the messy details. An invocation of (mapreduce;mapper; reducer;base-case;datafile) is almost exactly equivalent to the familiar (reduce; reducer; base-case; (map; mapper; data)) The one complication visible to students is the use of key-value pairs in the data, so that results from the map phase can be distributed among the processors for the reduce phase based on their keys. Using functional programming as the setting for parallelism eliminates the need for students to worry about concurrency control; in this first introduction to the subject, there are no semaphores or other locking constructs, and a substantial source of bugs is eliminated. Brian Harvey, Division of Computer Science, University of California, Berkeley, Berkeley, CA 94720, bh@cs.berkeley.edu</itunes:summary><feedburner:origLink>http://blip.tv/file/1993638</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/bdzigJaWeHY/Intel_SW-PreparingStudentsForUbiquitousParallelismPt3Of6524.mp4" length="179577387" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-PreparingStudentsForUbiquitousParallelismPt3Of6524.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Tom Murphy I am a member of a three person team of Computer Science professors spanning geography and college levels (community college, liberal arts, and PhD granting) focused on effecting change in the Computer Science curriculum though hands-on week long parallel and distributed workshops held for faculty each summer. We reach more students by working with the faculty that teach those students. We have taught data parallelism through use of GPUs, memory parallelism though use of SMPs and multi-core, and message parallelism through use of clusters. To convey parallelism we have used rope tricks, line dances, and many analogies. A large part of our efforts have been in simplifying the use of MPI. We have also surrounded ourselves with a similarly eclectic graphically dispersed team of student and former student apprentices to help us in projects ranging from hardware to software engineering, as well as helping instruct in workshops, which fosters their education in ways not typically available to students (and former students). Tom Murphy, Department of Computer Science, Contra Costa College, San Pablo, CA 94806 , tmurphy@contracosta.edu</blip:puredescription>
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<description>Tom Murphy I am a member of a three person team of Computer Science professors spanning geography and college levels (community college, liberal arts, and PhD granting) focused on effecting change in the Computer Science curriculum though hands-on week long parallel and distributed workshops held for faculty each summer. We reach more students by working with the faculty that teach those students. We have taught data parallelism through use of GPUs, memory parallelism though use of SMPs and multi-core, and message parallelism through use of clusters. To convey parallelism we have used rope tricks, line dances, and many analogies. A large part of our efforts have been in simplifying the use of MPI. We have also surrounded ourselves with a similarly eclectic graphically dispersed team of student and former student apprentices to help us in projects ranging from hardware to software engineering, as well as helping instruct in workshops, which fosters their education in ways not typically available to students (and former students). Tom Murphy, Department of Computer Science, Contra Costa College, San Pablo, CA 94806 , tmurphy@contracosta.edu&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/Dj2w8lN4-ls" height="1" width="1"/&gt;</description>
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<media:title>Preparing Students for Ubiquitous Parallelism Pt. 4 of 6</media:title>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Tom Murphy I am a member of a three person team of Computer Science professors spanning geography and college levels (community college, liberal arts, and PhD granting) focused on effecting change in the Computer Science curriculum though hands-on week lo</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Tom Murphy I am a member of a three person team of Computer Science professors spanning geography and college levels (community college, liberal arts, and PhD granting) focused on effecting change in the Computer Science curriculum though hands-on week long parallel and distributed workshops held for faculty each summer. We reach more students by working with the faculty that teach those students. We have taught data parallelism through use of GPUs, memory parallelism though use of SMPs and multi-core, and message parallelism through use of clusters. To convey parallelism we have used rope tricks, line dances, and many analogies. A large part of our efforts have been in simplifying the use of MPI. We have also surrounded ourselves with a similarly eclectic graphically dispersed team of student and former student apprentices to help us in projects ranging from hardware to software engineering, as well as helping instruct in workshops, which fosters their education in ways not typically available to students (and former students). Tom Murphy, Department of Computer Science, Contra Costa College, San Pablo, CA 94806 , tmurphy@contracosta.edu</itunes:summary><feedburner:origLink>http://blip.tv/file/1993628</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/QEbQB5UPofE/Intel_SW-PreparingStudentsForUbiquitousParallelismPt4Of6972.mp4" length="155291940" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-PreparingStudentsForUbiquitousParallelismPt4Of6972.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Prompted by the changing landscape and by active encouragement from our corporate partners, the Purdue University Department of Computer Sciences has created a Multicore Initiative to substantially increase the multicore content in our curriculum. The most innovative element of the Multicore Initiative is a course for first or second semester freshmen designed to teach the fundamentals of programming with concurrency integrated into as many topics as possible. The course fulfills our CS1 requirement but ranges a little beyond a typical CS1 course in difficulty. Students are eligible to enroll with either a strong high school background in programming or successful completion of our CS0 course. Our course is taught in Java, and all concurrency is based on threading. We have faced challenges in fitting both the traditional CS1 material and concurrent topics into our course. Because some programming experience is a prerequisite, we have accelerated the first month of Java fundamentals and left out some of the more obscure features of the language. Having no textbook which unites introductory programming with concurrency, we were forced to write our own. We are excited to share our experiences of wrestling with the design of this course for over a year and the results of teaching the course for the first time in fall 2008. Barry Wittman, Department of Computer Science, Purdue University West Lafayette, IN 47907 bwittman@purdue.edu</blip:puredescription>
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<description>Prompted by the changing landscape and by active encouragement from our corporate partners, the Purdue University Department of Computer Sciences has created a Multicore Initiative to substantially increase the multicore content in our curriculum. The most innovative element of the Multicore Initiative is a course for first or second semester freshmen designed to teach the fundamentals of programming with concurrency integrated into as many topics as possible. The course fulfills our CS1 requirement but ranges a little beyond a typical CS1 course in difficulty. Students are eligible to enroll with either a strong high school background in programming or successful completion of our CS0 course. Our course is taught in Java, and all concurrency is based on threading. We have faced challenges in fitting both the traditional CS1 material and concurrent topics into our course. Because some programming experience is a prerequisite, we have accelerated the first month of Java fundamentals and left out some of the more obscure features of the language. Having no textbook which unites introductory programming with concurrency, we were forced to write our own. We are excited to share our experiences of wrestling with the design of this course for over a year and the results of teaching the course for the first time in fall 2008. Barry Wittman, Department of Computer Science, Purdue University West Lafayette, IN 47907 bwittman@purdue.edu&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/fygV8obzIx8" height="1" width="1"/&gt;</description>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Prompted by the changing landscape and by active encouragement from our corporate partners, the Purdue University Department of Computer Sciences has created a Multicore Initiative to substantially increase the multicore content in our curriculum. The mos</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Prompted by the changing landscape and by active encouragement from our corporate partners, the Purdue University Department of Computer Sciences has created a Multicore Initiative to substantially increase the multicore content in our curriculum. The most innovative element of the Multicore Initiative is a course for first or second semester freshmen designed to teach the fundamentals of programming with concurrency integrated into as many topics as possible. The course fulfills our CS1 requirement but ranges a little beyond a typical CS1 course in difficulty. Students are eligible to enroll with either a strong high school background in programming or successful completion of our CS0 course. Our course is taught in Java, and all concurrency is based on threading. We have faced challenges in fitting both the traditional CS1 material and concurrent topics into our course. Because some programming experience is a prerequisite, we have accelerated the first month of Java fundamentals and left out some of the more obscure features of the language. Having no textbook which unites introductory programming with concurrency, we were forced to write our own. We are excited to share our experiences of wrestling with the design of this course for over a year and the results of teaching the course for the first time in fall 2008. Barry Wittman, Department of Computer Science, Purdue University West Lafayette, IN 47907 bwittman@purdue.edu</itunes:summary><feedburner:origLink>http://blip.tv/file/1993625</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/_P002AkPs5c/Intel_SW-PreparingStudentsForUbiquitousParallelismPt2Of6932.mp4" length="127483665" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-PreparingStudentsForUbiquitousParallelismPt2Of6932.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Tandem Games is a member of the Intel Software Partner Program. Take Five Videos caught up with new member of the Tandem Games team Fernando Baz. Fernando is one of the artists working on the casual game Domain of Heroes www.domainofheroes.comFor more infromation on the Intel Software Partner Program please visit www.intel.com/partnerYou can also learn more about Tandem games at: www.tandemgames.com</blip:puredescription>
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<description>Tandem Games is a member of the Intel Software Partner Program. Take Five Videos caught up with new member of the Tandem Games team Fernando Baz. Fernando is one of the artists working on the casual game Domain of Heroes www.domainofheroes.comFor more infromation on the Intel Software Partner Program please visit www.intel.com/partnerYou can also learn more about Tandem games at: www.tandemgames.com&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/o06XoUMqpQM" height="1" width="1"/&gt;</description>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Tandem Games is a member of the Intel Software Partner Program. Take Five Videos caught up with new member of the Tandem Games team Fernando Baz. Fernando is one of the artists working on the casual game Domain of Heroes www.domainofheroes.comFor more inf</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Tandem Games is a member of the Intel Software Partner Program. Take Five Videos caught up with new member of the Tandem Games team Fernando Baz. Fernando is one of the artists working on the casual game Domain of Heroes www.domainofheroes.comFor more infromation on the Intel Software Partner Program please visit www.intel.com/partnerYou can also learn more about Tandem games at: www.tandemgames.com</itunes:summary><feedburner:origLink>http://blip.tv/file/1993592</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/yQt-_flWoZ0/Intel_SW-AChatWithIntelSoftwarePartnerProgramMemberTandemGamesA697.mp4" length="17928042" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-AChatWithIntelSoftwarePartnerProgramMemberTandemGamesA697.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Part 5/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</blip:puredescription>
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<description>Part 5/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/al_5LuX_ddU" height="1" width="1"/&gt;</description>
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<pubDate>Tue, 14 Apr 2009 22:06:44 +0000</pubDate>

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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Part 5/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Part 5/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</itunes:summary><feedburner:origLink>http://blip.tv/file/1993569</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/A57Z6j8ussg/Intel_SW-SequentialProgrammingIsNoMoreWhyAreWeStillTeachingIt708.mp4" length="133581043" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-SequentialProgrammingIsNoMoreWhyAreWeStillTeachingIt708.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Part 4/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</blip:puredescription>
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<description>Part 4/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/3CRyLlUvtOE" height="1" width="1"/&gt;</description>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Part 4/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Part 4/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</itunes:summary><feedburner:origLink>http://blip.tv/file/1993567</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/b-uzV4K1lW4/Intel_SW-SequentialProgrammingIsNoMoreWhyAreWeStillTeachingIt136.mp4" length="130695738" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-SequentialProgrammingIsNoMoreWhyAreWeStillTeachingIt136.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</blip:puredescription>
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<blip:puredescription>Part 3/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</blip:puredescription>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Part 3/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Part 3/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core.</itunes:summary><feedburner:origLink>http://blip.tv/file/1993552</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/ISNVideos/~5/qqdF4IOesmo/Intel_SW-SequentialProgrammingIsNoMoreWhyAreWeStillTeachingIt549.mp4" length="125453967" type="video/mp4" /><feedburner:origEnclosureLink>http://blip.tv/file/get/Intel_SW-SequentialProgrammingIsNoMoreWhyAreWeStillTeachingIt549.mp4</feedburner:origEnclosureLink></item>
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<blip:puredescription>Part 2/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core. NOTE: Audience response gets easier to hear further through the videos</blip:puredescription>
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<description>Part 2/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster, share and develop a new computer science and engineering curriculum with parallelism at its core. NOTE: Audience response gets easier to hear further through the videos&lt;img src="http://feeds.feedburner.com/~r/ISNVideos/~4/12P9DWzkCBA" height="1" width="1"/&gt;</description>
<itunes:duration>854</itunes:duration>
<comments>http://blip.tv/file/1993542</comments>
<category>Technology</category>
<category>parallelism</category>
<category>intel</category>
<category>software</category>
<category>college</category>
<category>concurrency</category>
<category>academic</category>
<category>community</category>
<category>multicore</category>
<category>supercomputing</category>
<category>hpc</category>
<category>parallel</category>
<category>computing</category>
<pubDate>Tue, 14 Apr 2009 22:01:50 +0000</pubDate>

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<media:title>Sequential programming is no more — why are we still teaching it? Panel Super Computing 08 Education Forum Pt.2</media:title>
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<dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Intel Software Network</dc:creator><itunes:explicit>no</itunes:explicit><itunes:subtitle>Part 2/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines</itunes:subtitle><itunes:author>Intel Software Network</itunes:author><itunes:summary>Part 2/7: Sequential Programming is no more. Why Are we still Teaching it? All major manufactures of CPUs, GPUs and ASICs have moved to a many core design, yet universities and colleges are not training engineers in the parallel and concurrent disciplines needed to efficiently program on such systems. This panel at Supercomputing 08, featuring Dr. Michael Wrinn for Intel, Dr. Steven Parker for NVidia, Dr. Christoph Lameter for The Linux Foundation, Professor Wen-Mei Hwu of the University of Illinois, Professor Charlie Peck of Earlham College and Professor Tom Murphy of Contra Costa College, kicked off an industry/academia working group to help remedy this situation. The panel&amp;#8217;s debates and discussions of the key question: Sequential programming is no more &amp;#8212; why are we still teaching it?, as well as the vigorous audience response, demonstrates the centrality of this question to those of us both in the industry and in academia. Panelists met after with a wider industry/academia follow-up meeting, including AMD, IBM, SUN, UC Berkeley and others, to form a working group to propose, foster