Article

Programming and Compiling for Intel® Many Integrated Core Architecture

This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
Authored by AmandaS (Intel) Last updated on 09/30/2019 - 17:28
Article

Cache Blocking Techniques

Cache Blocking Techniques Overview

Authored by AmandaS (Intel) Last updated on 09/30/2019 - 17:28
Article

Memory Layout Transformations

Memory Layout Transformations Overview
Authored by AmandaS (Intel) Last updated on 09/30/2019 - 17:28
Article

Parallelization Using Intel® MPI

Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.
Authored by admin Last updated on 09/30/2019 - 17:30
Article

Vectorization and Optimization Reports

Optimization reports from the Intel® compilers guide the developer with optimization details
Authored by Ronald W Green (Blackbelt) Last updated on 09/30/2019 - 17:28
Article

The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

Authored by Martyn Corden (Intel) Last updated on 07/03/2019 - 20:00
Article
Article

Intel® AVX-512 Instructions

The latest Intel® Architecture Instruction Set Extensions Programming Reference includes the definition of Intel® Advanced Vector Extensions 512 (Intel® AV

Authored by James R. (Blackbelt) Last updated on 10/15/2019 - 20:39
Article

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.
Authored by David M. Last updated on 03/12/2020 - 23:40
Article

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.
Authored by David M. Last updated on 03/12/2020 - 23:40