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Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00
Article

Intel® Intelligent Storage Acceleration Library Performance under Xen* Project Hypervisor

Abstract
Автор: Thai Le (Intel) Последнее обновление: 06.07.2019 - 16:40
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Автор: админ Последнее обновление: 21.03.2019 - 12:00
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Автор: Sunny G. (Intel) Последнее обновление: 08.05.2018 - 10:50
Блоги

The Visualization Toolkit, Enhanced by Software Defined Visualization

Greetings, developers. My name is David DeMarle and I am a developer at Kitware.

Автор: David D. Последнее обновление: 02.08.2019 - 17:55
Article

Running Intel® Parallel Studio XE Analysis Tools on Clusters with Slurm* / srun

Since HPC applications target high performance, users are interested in analyzing the runtime performance of such applications.

Автор: Michael Steyer (Intel) Последнее обновление: 06.07.2019 - 11:23
Article

Intel Solutions and Technologies for the Evolving Data Center

  One Stop for Optimizing Your Data Center From AI to Big Data to HPC: End-to-end Solutions
Автор: админ Последнее обновление: 06.07.2019 - 16:40
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
File Wrapper

Parallel Universe Magazine - Issue 25, June 2016

Автор: админ Последнее обновление: 21.03.2019 - 12:00
File Wrapper

Parallel Universe Magazine - Issue 31, January 2018

Автор: админ Последнее обновление: 12.12.2018 - 18:08