Фильтры

Article

Loop Modifications to Enhance Data-Parallel Performance

When confronted with nested loops, the granularity of the computations that are assigned to threads will directly affect performance. Loop transformations such as splitting and merging nested loops can make parallelization easier and more productive.
Автор: админ Последнее обновление: 05.07.2019 - 14:47
Article

Granularity and Parallel Performance

One key to attaining good parallel performance is choosing the right granularity for the application. Granularity is the amount of real work in the parallel task. If granularity is too fine, then performance can suffer from communication overhead.
Автор: админ Последнее обновление: 05.07.2019 - 19:52
Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Автор: Последнее обновление: 31.07.2019 - 14:30
Article

Step-by-Step Application Performance Tuning with Intel Compilers

A step-by-step introduction to application performance tuning using the Intel® Compilers version 13 for IA-32 and Intel® 64 processors that are included with Intel® Parallel Studio XE 2013
Автор: Martyn Corden (Intel) Последнее обновление: 10.05.2019 - 08:30
Article

Optimize Data Structures and Memory Access Patterns to Improve Data Locality

GOptimize Data Structures and Memory Access Patterns to I

Автор: Victoria Gromova (Intel) Последнее обновление: 05.07.2019 - 19:47
Article

Tips to Measure the Performance of Matrix Multiplication Using Intel® MKL

Intel® Math Kernel Library (Intel® MKL) provides highly optimized and extensively threaded general matrix-matrix multiplication (GEMM) functions. In this article, we explain how to design and measure of the performance using Intel MKL SGEMM, and outline about 7 tips to help developers to perform performance tests and quickly evaluate the floating pointing computing capability (FLOPS) on a...
Автор: Ying H. (Intel) Последнее обновление: 03.07.2019 - 20:00
Article

Intel® IPP Functions Optimized for Intel® Advanced Vector Extensions 2 (Intel® AVX2)

List of Intel IPP functions optimized for processor code name Haswell and Skylake
Автор: Shaojuan Z. (Intel) Последнее обновление: 31.07.2019 - 14:30
Блоги

Parallel Universe Magazine #12: Advanced Vectorization

This blog contains additional content for the article "Advanced Vectorization" from Parallel Universe #12:

Автор: Последнее обновление: 03.07.2019 - 20:08
Блоги

Detecting Buffer Overflow with Intel® Pointer Checker

Introduction
Автор: Nguyen, Khang T (Intel) Последнее обновление: 04.07.2019 - 19:08
Article

The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

Автор: Martyn Corden (Intel) Последнее обновление: 03.07.2019 - 20:00