Article

Cache Blocking Techniques

Cache Blocking Techniques Overview

作者: AmandaS (Intel) 最后更新时间: 2019/09/30 - 17:28
Article

Vectorization and Optimization Reports

Optimization reports from the Intel® compilers guide the developer with optimization details
作者: Ronald W Green (Blackbelt) 最后更新时间: 2019/09/30 - 17:28
Article

Intel® Trace Collector Filtering

Filtering in the Intel® Trace Collector will apply specified filters to the trace collection process.  This directly reduces the amount of data collected.  The filter rules can be applied either vi

作者: James T. (Intel) 最后更新时间: 2019/07/06 - 19:14
Article

Webinar: Fortran Standard Parallel Programming Features

Fortran Standard Parallel Programming Features in Intel Compilers
作者: 最后更新时间: 2019/07/04 - 10:00
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

作者: James R. (Blackbelt) 最后更新时间: 2019/10/15 - 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.
作者: David M. 最后更新时间: 2020/03/12 - 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.
作者: David M. 最后更新时间: 2020/03/12 - 23:40
Article

Diagnostic 15304: non-vectorizable loop instance

Product Version: Intel® Fortran Compiler 15.0 and a later version 

作者: Devorah H. (Intel) 最后更新时间: 2020/03/19 - 11:50
Article

Optimize Financial Applications using Intel® Math Kernel Library

Intel® Math Kernel Library (Intel® MKL) contains a wealth of highly optimized math functions that are fundamental to a wide variety of Financial Applications.

作者: Zhang, Zhang (Intel) 最后更新时间: 2020/03/19 - 12:21
Article

Threading Fortran Applications for Parallel Performance on Multi-Core Systems

Advice and background information is given on typical issues that may arise when threading an application using the Intel Fortran Compiler and other software tools, whether using OpenMP, automatic parallelization or threaded libraries.
作者: Martyn Corden (Intel) 最后更新时间: 2020/03/19 - 12:30