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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
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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
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Detecting Buffer Overflow with Intel® Pointer Checker

Introduction
Автор: Nguyen, Khang T (Intel) Последнее обновление: 04.07.2019 - 19:08
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Fun with Intel® Transactional Synchronization Extensions

By now, many of you have heard of Intel® Transactional Synchronization Extensions (Intel® TSX).

Автор: Последнее обновление: 04.07.2019 - 17:00
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Migrating Fortran Projects to the Intel® Xeon Phi™ Coprocessor

This article focuses on aspects of porting Fortran codes to the Intel® Xeon Phi™ coprocessor.  Most of the documentation for the coprocessor is C/C++ centric.

Автор: Последнее обновление: 17.06.2019 - 15:47
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Applying Intel® Threading Building Blocks Observers for Thread Affinity on Intel® Xeon Phi™ Coprocessors

In spite of the fact that the Intel® Threading Building Blocks (Intel® TBB) library [1] [2] provides high-level task based parallelism intended to hide sof

Автор: Alex (Intel) Последнее обновление: 01.08.2019 - 09:30
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How Intel® AVX Improves Performance on Server Application

The latest Intel® Xeon® processor E7 v2 family includes a feature called Intel® Advanced Vector Extensions (Intel® AVX), which can potentially improve application performance.

Автор: Thai Le (Intel) Последнее обновление: 21.03.2019 - 13:10
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Optimized Pseudo Random Number Generators with AVX2

Intel® Math Kernel Library includes powerful and versatile random number generators that have been optimized to take full advantage of Intel

Автор: gaston-hillar (Blackbelt) Последнее обновление: 06.07.2019 - 17:00
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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
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Reduce Boilerplate Code in Parallelized Loops with C++11 Lambda Expressions

Parallelize loops with Intel® Threading Building Blocks using Intel® C++ Compiler for lambda expressions.
Автор: gaston-hillar (Blackbelt) Последнее обновление: 12.12.2018 - 18:00