Комплект для разработки программного обеспечения Intel® Cilk Plus

Intel® Parallel Debugger Extension

This whitepaper provides tips and tricks on how to best take advantage of the additional insight into parallel data constructs the Intel® Parallel Debugger Extension brings to the Microsoft Visual Studio* debug environment. In doing so it provides a high-level overview of the Intel® Parallel Debugger Extension for Microsoft Visual Studio* and the key features that enhance the debug experience.
  • Microsoft Windows* (XP, Vista, 7)
  • C/C++
  • Средний
  • Intel® C++ Compiler
  • Intel® Parallel Composer
  • Intel® Parallel Studio
  • Intel® Parallel Studio XE
  • Комплект для разработки программного обеспечения Intel® Cilk Plus
  • Редакция Intel® Parallel Studio XE Composer
  • Intel® Parallel Debugger Extension for Microsoft Visual Studio
  • OpenMP*
  • Отладка
  • Параллельные вычисления
  • SIGCSE2012 Workshop 23 Parallelism and Concurrency for Data-Structures & Algorithms courses

    This workshop is inspired by Dan Grossman’s SIGCSE 2011 workshop on Data Abstractions. We review C/C++ conversions of the original Java-based materials and will include material from the Parallel Algorithms course at Kent State. The workshop will appeal to data-structure and algorithms course instructors. Workshop topics will include divide and conquer approaches, work sharing concepts, and a scoped locking scheme in OpenMP for C++ classes.

    Superscalar programming 101 (Matrix Multiply) Part 5 of 5

    In part 4 we saw the effects of the QuickThread Parallel Tag Team Transpose method of Matrix Multiplication performed on a Dual Xeon 5570 systems with 2 sockets and two L3 caches, each shared by four cores (8 threads). and each processor with four L2 and four L1 caches each shared by one core and 2 threads, we find:

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Сервер
  • Средний
  • Intel® C++ Compiler
  • Intel® Fortran Compiler
  • Intel® Parallel Composer
  • Intel® Parallel Studio
  • Intel® Parallel Studio XE
  • Комплект для разработки программного обеспечения Intel® Cilk Plus
  • Редакция Intel® Parallel Studio XE Composer
  • Параллельные вычисления
  • Superscalar programming 101 (Matrix Multiply) Part 3 of 5

    By Jim Dempsey

    In the previous article (part 2) we have seen that by reorganizing the loops and with use of temporary array we can observe a performance gain with SSE small vector optimizations (compiler does this) but a larger gain came from better cache utilization due to the layout change and array access order. The improvements pushed us into a memory bandwidth limitation whereby the Serial method now outperforms the Parallel method (of the Serial method).

  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Сервер
  • Средний
  • Intel® C++ Compiler
  • Intel® Fortran Compiler
  • Intel® Parallel Composer
  • Intel® Parallel Studio
  • Intel® Parallel Studio XE
  • Комплект для разработки программного обеспечения Intel® Cilk Plus
  • Редакция Intel® Parallel Studio XE Composer
  • Параллельные вычисления
  • Подписаться на Комплект для разработки программного обеспечения Intel® Cilk Plus