Intel

Intel ® Software Network

Intel Software TV

Design Patterns for Parallel Programming: Learning to Think Parallel

  • Segment 3 of 4
  • August 24, 2011
  • Timothy Mattson (Intel)
  • Download

Design Patterns for Parallel Programming: Learning to Think Parallel - 60 Minutes A specialized community of software developers has been writing parallel programs for over 25 years and has compiled a considerable body of knowledge about parallel pr

Expand Description Collapse Description
Design Patterns for Parallel Programming: Learning to Think Parallel - 60 Minutes A specialized community of software developers has been writing parallel programs for over 25 years and has compiled a considerable body of knowledge about parallel programming. Capturing this knowledge and transferring it to the programming community at large, however, has proven difficult. To address this problem we created a Design Pattern Language for parallel programming (Patterns for Parallel Programming, Mattson, Sanders and Massingil, Addison Wesley, 2004). With this pattern language, we can help transform experienced software engineers into parallel software engineers. In this Podcast, we will provide an overview of this design pattern language and provide a few cases studies of how it is used in practice.

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