博客

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
博客

Brain Development Simulation, 300x Faster

作者: Andrey Vladimirov 最后更新时间: 2019/07/04 - 17:45
Article

Solve SVD problem for sparse matrix with Intel Math Kernel Library

    Introduction :

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/05 - 23:20
Article

Intel® Math Kernel Library - Introducing Vectorized Compact Routines

Introduction     
作者: Gennady F. (Blackbelt) 最后更新时间: 2019/07/04 - 21:35
Article

Enabling Intel® MKL in PETSc applications

 
作者: Gennady F. (Blackbelt) 最后更新时间: 2018/05/24 - 15:48
视频

Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

作者: 管理 最后更新时间: 2019/09/30 - 17:02
Article

Books - High Performance Parallelism Pearls

A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
作者: Mike P. (Intel) 最后更新时间: 2019/09/30 - 17:30
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
作者: 管理 最后更新时间: 2019/09/30 - 17:28
Article

Resource Guide for People Investigating the Intel® Xeon Phi™ Coprocessor

This article identifies resources for anyone investigating the value to their organization of the Intel® Xeon Phi™ coprocessor, which is based on the Intel® Many Integrated Core (Intel® MIC) archit

作者: 最后更新时间: 2019/10/15 - 15:30
Article

Hybrid Parallelism: Parallel Distributed Memory and Shared Memory Computing

There are two principal methods of parallel computing: distributed memory computing and shared memory computing. As more processor cores are dedicated to large clusters solving scientific and engineering problems, hybrid programming techniques combining the best of distributed and shared memory programs are becoming more popular.
作者: David M. 最后更新时间: 2019/10/15 - 16:40