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Benign Data Races: What Could Possibly Go Wrong?

The peril of data races. Shows how even the most innocent ones can break badly.
Автор: Dmitry Vyukov Последнее обновление: 04.07.2019 - 17:06
Блоги

New Book: Multithreading for Visual Effects

Several authors from DreamWorks Animation, Pixar, Side Effects, AMD and Intel got together to write a book based on the Siggraph 2013 course on Multithreading in Visual Effects.

Автор: James R. (Blackbelt) Последнее обновление: 26.07.2019 - 07:56
Article

Putting Your Data and Code in Order: Optimization and Memory – Part 1

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Автор: David M. Последнее обновление: 12.12.2018 - 18:00
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Training for Intel® Parallel Computing Centers

Автор: админ Последнее обновление: 15.08.2019 - 10:01
Article

Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
Автор: Alberto V. (Intel) Последнее обновление: 08.07.2019 - 19:26
Article

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

Автор: Последнее обновление: 16.07.2019 - 08:37
Article

Improving Performance of Math Functions with Intel® Math Kernel Library

Introduction
Автор: Nguyen, Khang T (Intel) Последнее обновление: 07.07.2019 - 10:49
Видео

Achieving High-Performance Computing with The Intel® Distribution for Python*

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work.

Автор: WEI L. (Intel) Последнее обновление: 10.06.2019 - 09:40
Article

Intel® Distribution for Python* versus Non-Optimized Python: Breast Cancer Classification

This case study compares the performance of Intel® Distribution for Python* to that of non-optimized Python using a breast cancer classification. This comparison was done using machine learning algorithms from the scikit-learn* package in Python.
Автор: админ Последнее обновление: 12.12.2018 - 18:00
Блоги

Doctor Fortran in "And They're Off!"

Two significant events happened recently in the Fortran world.

Автор: Steve Lionel (Ret.) (Blackbelt) Последнее обновление: 12.12.2018 - 18:00