Intel

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Intel Software TV

Date Added | Popularity
Date Added | Popularity
Episode # Air Date Episode Name Hosts
  April 10, 2012
Teach Parallel 45
Paul Steinberg gives a recap of the 2012 SIGCSE conference 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  March 21, 2012
Teach Parallel SIGCSE Special 5
Paul Steinberg & Tom Murphy talk to guests from the floor of SIGCSE 2012 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  March 21, 2012
Teach Parallel SIGCSE Special 4
Paul Steinberg & Tom Murphy talk to guests from the floor of SIGCSE 2012 
Paul Steinberg (Inte) Jerry Makare (Intel) 
  March 21, 2012
Teach Parallel SIGCSE Special 3
Paul Steinberg & Tom Murphy talk to guests from the floor of SIGCSE 2012 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  March 21, 2012
Teach Parallel SIGCSE Special 2
Paul Steinberg & Tom Murphy talk to guests from the floor of SIGCSE 2012 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  March 21, 2012
Teach Parallel SIGCSE Special 1
Paul Steinberg and Tom Murphy talk to guests from the floor of SIGCSE 2012 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  February 24, 2012
Teach Parallel 44 - SIGCSE 2012 Preview
Paul Steinberg and Tom Muprphy preview SIGCSE 2012 in this episode of Teach Parallel 
Paul Steinberg (Intel) Tom Murphy (Contra Costa College) Jerry Makare (Intel) 
  November 21, 2011
Teach Parallel at SC11 - Jaqueline Goldstein
Teach Parallel Recorded at SC11 featuring an interview with Jaqueline Goldstein. 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  November 21, 2011
Teach Parallel at SC11 - Veronica Meija Bustamante
Teach Parallel Recorded at SC11 featuring an interview with Veronica Meija Bustamante. 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  November 21, 2011
Teach Parallel at SC11 - Rebecca Harman-Baker
Teach Parallel recorded at SC11 featuring an interview with Rebecca Hartman-Baker. 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  November 21, 2011
Teach Parallel at SC11 - Ivan Babic
Teach Parallel Recorded at SC11 and featuring an interview with Ivan Babic. 
Paul Steinberg (Intel) Jerry Makare (Intel) 
  November 21, 2011
Teach Parallel at SC11 - Kenneth Craft
Teach Parallel Recorded at SC11 in Seattle, Wa. Featuring an interview with Kenneth Craft. 
Paul Steinberg (intel) Jerry Makare (Intel) 
  November 21, 2011
Teach Parallel at SC11 - Overview
Teach Parallel Recorded at SC11 in Seattle, Wa. 
Paul Steinberg  
  November 3, 2011
Teach Parallel 43 - Dick Brown
Teach Parallel is hosted by Intel Academic Community Manager Paul Steinberg and Professor Tom Murphy of Contra Costa College. 
Paul Steinberg (Intel)  
  November 1, 2011
Teach Parallel 42 - Leo Ferres
Teach Parallel is hosted by Intel Academic Community Manager Paul Steinberg and Professor Tom Murphy of Contra Costa College. 
Paul Steinberg (Intel)  
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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