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Vectorization Series, Part 3 - What are the Benefits?

This will be the final post in my planned short vectorization series. Although I reserve the right to post more on vectorization in the future!

作者: Shannon Cepeda (Blackbelt) 最后更新时间: 2017/06/14 - 15:56
博客

Vectorization Series, Part 2- Who Can Use It?

In my last blog, I introduced the concept of vectorization, which is parallelism across data elements in a regi

作者: Shannon Cepeda (Blackbelt) 最后更新时间: 2017/06/14 - 16:16
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

Let's rename "for" to "serial_for"...

Proposal: rename for in C and C++ to serial_for No more incumbent "for." (it was voted off the island)

作者: James R. (Blackbelt) 最后更新时间: 2017/06/14 - 16:06
博客

Parallelism as a First Class Citizen in C and C++, the time has come

It is time to make Parallelism a full First Class Citizen in C and C++.  Hardware is once again ahead of software, and we need to close the gap so that application development is better able to uti

作者: James R. (Blackbelt) 最后更新时间: 2017/06/14 - 16:04
Article

Threading Methodology: Principles and Practices

Introduction
作者: 管理 最后更新时间: 2019/04/29 - 12:32
Article

Using Intel® Thread Profiler for Win32* Threads: Philosophy and Theory

by Clay P. Breshears Parallel Applications Engineer

作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:00
博客

Graduate Intern at Intel - Parallel Ray-Tracing

Ray-tracing is a classic example of an embarrassingly parallel algorithm; since each pixel is typically independent of the rest, theoretically every pixel can be done in parallel (given enough core

作者: 最后更新时间: 2017/06/14 - 15:37
博客

Graduate Intern at Intel - Parallel N-Body

The N-Body problem is a classic example used frequently to demonstrate parallelization and how it improves performance.

作者: 最后更新时间: 2017/06/14 - 15:46
Article

Using Intel® Tools to Maximize the Performance of Image Processing Applications

This article talks about how one of our ISVs had used our Intel tools to identify issues with their application and improve the performance. After the code tuneup, they were able to gain 350% improvement in performance.
作者: Lakshminarasimhan Ranganathan (Intel) 最后更新时间: 2019/03/28 - 11:54