Intel

Intel ® Software Network

Language:
English

Intel Software TV

Parallel Programming

Home › Software TV

Sequential programming is no more — why are we still teaching it? Panel Super Computing 08 Education Forum Pt.1

  • Segment 0 of 7
  • August 24, 2011
  • Paul Steinberg (Intel)
  • Download

Part 1/7: 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

Expand Description Collapse Description
Part 1/7: 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’s debates and discussions of the key question: Sequential programming is no more — 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

Leave a Comment

To obtain technical support, please go to Software Support

Date Added | Popularity
Date Series Author
November 8, 2011 Using Intel VTune Amplifier XE to Tune Software on the 2nd Generation Intel Core Processor Family
  • 1
    This video explains the tuning methodology we recommend for using Intel VTune Amplifier XE to tune software on Intel Microarchitecture Codename Sandy Bridge.
  • 2
    This video walks you through using the new Intel VTune Amplifier XE interface and analysis features for Intel Microarchitecture Codename Sandy Bridge.
 Shannon Cepeda (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)
1-3 of 3

© Intel Corporation