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Intel Atom Processors in Academia Part 1

  • Segment 0 of 3
  • August 24, 2011
  • Jerry Makare (Intel)
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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

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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 also as a development platform for both undergraduate and post-graduate hardware and software projects.

This class will showcase a starter kit for the Intel Atom processor that is both a long life and low cost development solution Find out more about how to get started with a ready to use board, software tools, operating system support, and an ever growing ecosystem of add-ons.

Presented by Stewart Christie

www.intel.com/software

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Date Added | Popularity
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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