Intel

Intel ® Software Network

Intel Software TV

A gentle introduction to parallel software-seg1of5

  • Segment 0 of 5
  • August 24, 2011
  • John Mchugh (Intel)
  • Download

Segment 1 of 5 - Dr. Tim Mattson, Principal Engineer at Intel's Microprocessor Technology Labs, will lead a webinar focused on actual code and the parallel programming APIs available to software developers. Tim will begin with an overview of the

Expand Description Collapse Description
Segment 1 of 5 - Dr. Tim Mattson, Principal Engineer at Intel's Microprocessor Technology Labs, will lead a webinar focused on actual code and the parallel programming APIs available to software developers. Tim will begin with an overview of the high level issues that apply to the task of creating a parallel program and then move on to consider the most commonly used parallel algorithms. He will then discuss the major parallel programming APIs (OpenMP*, MPI, and Windows* threads) showing how they are used with different algorithms and different platforms. After attending this webinar, developers should be conversant with major concurrent APIs and algorithms and be well positioned to start incorporating these techniques in their applications.

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