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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

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

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

Intel® OpenMP C++/Fortran Compiler for Hyper-Threading Technology

by Xinmin Tian, Aart Bik, Milind Girkar, Paul Grey, Hideki Saito, and Ernesto SuSoftware Solutions Group, Intel Corporation

作者: Hideki Ido (Intel) 最后更新时间: 2018/12/31 - 14:00
Article

Basic OpenMP Threading Overhead

Introduction

You have existing code and you want to thread it so it runs best on a multicore system. What do you need to know to get started?

作者: 最后更新时间: 2017/06/14 - 13:12
Article

Performance Obstacles for Threading: How do they affect OpenMP code?

by Paul Lindberg

作者: 最后更新时间: 2017/06/14 - 13:09
Article

Compiler Support for the Workqueuing Model Extends OpenMP*

Introduction

Intel's workqueuing model extends OpenMP* to parallelize a far greater range of applications.

作者: 管理 最后更新时间: 2019/01/03 - 17:24
Article

Tuning Phase of Threaded Application Development

Challenge

Develop a methodology for the tuning phase of the development cycle. The tuning phase increases performance incrementally where possible.

作者: 管理 最后更新时间: 2019/05/10 - 08:30
Article

Intel® C++ Compiler for Linux* - OpenMP* specification support

Intel® C++ / Fortran Compiler Version
作者: 管理 最后更新时间: 2017/06/01 - 11:31