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Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
作者: 最后更新时间: 2019/07/31 - 14:30
Article

The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

作者: Martyn Corden (Intel) 最后更新时间: 2019/07/03 - 20:00
视频

Design Code that Scales

As systems grow in complexity due to the number and type of cores and to vector size, you need to develop and update code to ensure scalability and take advantage of current and next-gen platforms.

作者: 最后更新时间: 2018/12/12 - 18:08
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

The New Parallel Universe Magazine is Out: All About Vectorization

Parallel Universe is Intel's quarterly magazine that explores inroads and innovations in software development. The new issue takes a deep dive into the subject of vectorization and what it can do for you. Our first feature article looks at the SIMD directives for explicit vector programming now available in OpenMP. The second article walks you through Vectorization Advisor, a new tool in the...
作者: Sally Sams (Intel) 最后更新时间: 2018/12/31 - 15:00
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
视频

Vector-Parallel Code Modernization Webinar

Learn how to optimize some difficult loops with Intel® compilers for Fortran*, C, and C++.

作者: Tim P. (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