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Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
作者: David M. 最后更新时间: 2020/03/12 - 23:40
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整理您的数据和代码: 数据和布局 - 第 2 部分

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
作者: David M. 最后更新时间: 2020/03/12 - 23:40
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Improve Performance with Vectorization

This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
作者: David M. 最后更新时间: 2020/03/12 - 23:40
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Explicit Vector Programming – Best Known Methods

Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
作者: 最后更新时间: 2020/03/12 - 23:40
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借助英特尔® Cilk™ Plus 实现并行化

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概述

作者: Ronald W Green (Blackbelt) 最后更新时间: 2020/03/19 - 10:30
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Parallelization with Intel® Cilk™ Plus

Compiler Methodology for Intel® MIC Architecture

作者: Ronald W Green (Blackbelt) 最后更新时间: 2020/03/19 - 10:30
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: 2020/03/27 - 12:59