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Fun with Intel® Transactional Synchronization Extensions

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

Authored by Last updated on 07/04/2019 - 17:00
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The switch() statement isn't really evil, right?

In my current position, I work to optimize and parallelize codes that deal with genomic data, e.g., DNA, RNA, proteins, etc.

Authored by Clay B. (Blackbelt) Last updated on 07/04/2019 - 10:46
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Controlling Floating-Point Modes When Using Intel® Threading Building Blocks

Intel® Threading Building Blocks (Intel® TBB) 4.2 Update 4 introduced enhanced support for managing floating-pointing settings.

Authored by Alex (Intel) Last updated on 08/01/2019 - 09:30
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Управление режимами вычислений с плавающей запятой при использовании Intel® Threading Building Blocks

В Intel® Threading Building Blocks (Intel® TBB) 4.2, обновление 4, появилась расширенная поддержка управления параметрами вычислений с плавающей запятой.

Authored by Alex (Intel) Last updated on 08/01/2019 - 09:30
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Использование изображений, доступных для чтения и записи, в OpenCL™ 2.0

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Authored by Last updated on 07/05/2019 - 11:22
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使用 OpenCL™ 2.0 读写图片

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can...
Authored by Last updated on 05/31/2019 - 14:20
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Intel® Math Kernel Library Improved Small Matrix Performance Using Just-in-Time (JIT) Code Generation for Matrix Multiplication (GEMM)

    The most commonly used and performance-critical Intel® Math Kernel Library (Intel® MKL) functions are the general matrix multiply (GEMM) functions.

Authored by Gennady F. (Blackbelt) Last updated on 03/21/2019 - 03:01
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Intel® Performance Counter Monitor - A Better Way to Measure CPU Utilization

The Intel® Performance Counter Monitor provides sample C++ routines and utilities to estimate the internal resource utilization of the latest Intel® Xeon® and Core™ processors and gain a significant performance boost.
Authored by Thomas Willhalm (Intel) Last updated on 10/01/2019 - 15:30
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Power Management States: P-States, C-States, and Package C-States

Preface: What, Why and from Where
Authored by Last updated on 10/03/2019 - 08:28