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Article

More Work-Sharing with OpenMP*

作者: 最后更新时间: 2017/06/07 - 09:10
博客

Some Performance Advantages of Using a Task-Based Parallelism Model

As part of my focus on software performance, I also support and consult on implementing scalable parallelism in applications.

作者: Shannon Cepeda (Blackbelt) 最后更新时间: 2019/02/04 - 10:40
博客

Paving the Road to OpenMP 4

The dust of SC’11 starts to settle and several announcements around OpenMP have been made in Seattle.

作者: Michael K. (Intel) 最后更新时间: 2019/03/09 - 12:28
博客

Fortran is more popular than ever; Intel makes it FAST

Just this past week, a senior radio telescope astronomer told me about the shift from C++ back to Fortran in his corner of the world. It is all about efficiency.

作者: James R. (Blackbelt) 最后更新时间: 2019/03/21 - 12:00
Article

Writing Parallel Programs: a multi-language tutorial introduction

Introduction
作者: 最后更新时间: 2017/09/12 - 08:46
Article

Intel® Threading Building Blocks, OpenMP*, or native threads?

Which API do you choose to introduce threading to your software application, if you have a choice? Is there one answer that always works?

作者: Michael V. (Intel) 最后更新时间: 2019/07/05 - 09:20
Article

Technical Books for Parallel Application & Multi-Core Software Developers

Highly recommended books for Threading and Parallel programming
作者: aaron-tersteeg (Intel) 最后更新时间: 2017/06/14 - 13:03
博客

OpenMP 3.1 API Specification Available

I'm happy to share some news for all the OpenMP folks out there!
作者: Michael K. (Intel) 最后更新时间: 2019/03/09 - 12:28
Article

Choosing between OpenMP* and Explicit Threading Methods

OpenMP provides a powerful, portable, and simple means of threading applications. In some cases, however, developers should choose the flexibility of native threading APIs. The guidelines in this article help to identify whether OpenMP is an appropriate choice for a given situation.
作者: 最后更新时间: 2017/06/01 - 11:19
Article

Combining Linux* Message Passing and Threading in High Performance Computing

An article addressing thread and task parallelism. This article can be used to optimize framework methodology. Written by Andrew Binstock--Principal Analyst at Pacific Data Works LLC and lead author of "Practical Algorithms for Programmers."
作者: 最后更新时间: 2019/07/06 - 16:22