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Intel at SIGCSE 2009 pt. 2 of 2

Segment 1 of 2
August 24, 2011
Paul Steinberg (Intel)
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Professor Matthew Wolf of Georgia Tech receives Academic Community Member of the Year Award, Professors Charley Peck and Dan Garcia discuss parallelism and concurrency in large universities and small colleges, students Darren Woodley and Kay Wannous

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Professor Matthew Wolf of Georgia Tech receives Academic Community Member of the Year Award, Professors Charley Peck and Dan Garcia discuss parallelism and concurrency in large universities and small colleges, students Darren Woodley and Kay Wannous talk of their ideas as to the importance of introducing parallelism in to the curriculum.

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Date	Series	Author
August 24, 2011	Intel Atom Processors in Academia 1 This class will outline the next generation of Intel Atom processors available from Intel's Embedded and Communications Group. These low power processors are finding increasing use in academic programs, not only as part of the curriculum, but al 2 This class will outline the next generation of Intel Atom processors available from Intel's Embedded and Communications Group. These low power processors are finding increasing use in academic programs, not only as part of the curriculum, but al	Jerry Makare (Intel)
August 24, 2011	Gaming Architecture: Why Parallelism is Important 1 Task and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avai 2 Task and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avai 3 Task and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avai 4 ask and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avail 5 Task and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avai 6 Task and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avai 7 Task and domain decompositions are two basic and powerful approaches of exploiting parallelism in a given problem. An effective decomposition requires careful partitioning of tasks and data, and a balanced mapping of these partitions across the avai	Jerry Makare (Intel)
August 24, 2011	Suddenly All Computing is Parallel: Seizing Opportunity Amid the Clamor 1 Michael Wrinn\'s Keynote from SIGCSE 2010. The shift in computing hardware to parallel systems is well underway. Sequential chips are no longer designed, and the proud era of von Neumann architecture passes into history. Foundational change of t 2 hael Wrinn's Keynote form SIGCSE 2010. The shift in computing hardware to parallel systems is well underway. Sequential chips are no longer designed, and the proud era of von Neumann architecture passes into history. Foundational change of this 3 Michael Wrinn's keynote from SIGCSE 2010. The shift in computing hardware to parallel systems is well underway. Sequential chips are no longer designed, and the proud era of von Neumann architecture passes into history. Foundational change of th 4 Michael Wrinn's keynote from SIGCSE 2010. The shift in computing hardware to parallel systems is well underway. Sequential chips are no longer designed, and the proud era of von Neumann architecture passes into history. Foundational change of th	Jerry Makare (Intel)

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