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Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

作者: 最后更新时间: 2019/07/03 - 20:08
Article

Intel® System Studio - Multicore Programming with Intel® Cilk™ Plus

Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading...
作者: Hans P. (Intel) 最后更新时间: 2017/12/11 - 10:48
博客

New optimizations for X86 in upcoming GCC 5.0

 

作者: Evgeny Stupachenko (Intel) 最后更新时间: 2018/01/24 - 12:12
Article

Using Intel® MKL and Intel® TBB in the same application

Intel MKL 11.3 has introduced Intel TBB support.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/08/01 - 09:22
Article

Fast Gathering-based SpMxV for Linear Feature Extraction

This algorithm can be used to improve sparse matrix-vector and matrix-matrix multiplication in any numerical computation. As we know, there are lots of applications involving semi-sparse matrix computation in High Performance Computing. Additionally, in popular perceptual computing low-level engines, especially speech and facial recognition, semi-sparse matrices are found to be very common....
作者: 最后更新时间: 2018/12/12 - 18:00
博客

Three Pieces of Advice for Code Modernization Success

What three code modernization techniques would I suggest to help a programmer improve the execution performance of her code? With too many specific things to choose from, these are three recommendations for any programmer anywhere and anytime.
作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:08
Article

Putting Your Data and Code in Order: Optimization and Memory – Part 1

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
作者: David M. 最后更新时间: 2018/12/12 - 18:00
博客

What is Thread Parallelism, and How Do I Put It to Use?

An Intro to Multi-Level Parallelism for High-Performance Computing by Clay Breshears | Life Sciences Software Architect, Intel
作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:08
博客

Five Big Insights from the Student Winner of the Intel® Modern Code Developer Challenge

As Shared by Mathieu Gravey, Grand-Prize Winner of the Intel Modern Code Developer Challenge
作者: Mathieu Gravey 最后更新时间: 2018/12/12 - 18:08