Article

Best Practices for Using Intel® Cilk™ Plus

Performance tuning of an existing application is truly a challenge and it depends on a lot of factors like the nature of algorithm the application works on, if the implementation is scalable

作者: Anoop M. (Intel) 最后更新时间: 2018/05/25 - 15:30
Article

Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00
博客

Fun with Intel® Transactional Synchronization Extensions

By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).

作者: 最后更新时间: 2019/07/04 - 17:00
Article

Vectorizing Loops with Calls to User-Defined External Functions

Introduction

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00
Article

How to Start Intel® VTune™ Amplifier from Ubuntu* Launcher

Under Linux* many commands are executed from the command line, which is OK. But if the program you are starting has a mouse driven GUI in my view the command line doesn't really make sense.

作者: Paul F. (Intel) 最后更新时间: 2017/06/07 - 10:43
博客

Reduce Boilerplate Code in Parallelized Loops with C++11 Lambda Expressions

Parallelize loops with Intel® Threading Building Blocks using Intel® C++ Compiler for lambda expressions.
作者: gaston-hillar (Blackbelt) 最后更新时间: 2018/12/12 - 18:00
博客

Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

作者: Sharmila C. (Intel) 最后更新时间: 2019/08/01 - 09:30
Article

Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/03/21 - 03:01