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OpenMP* 4.0 may offer important solutions for targeting and vectorization

The upcoming OpenMP 4.0 will be discussed at SC12, and there wil

Автор: James R. (Blackbelt) Последнее обновление: 28.05.2018 - 18:28
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Monitoring Intel® Transactional Synchronization Extensions with Intel® PCM

After applying a new technology (a new processor, a hardware accelerator, a new instruction, etc) besides measuring the immediate performance delta one requires a method to verify that this technol

Автор: Roman Dementiev (Intel) Последнее обновление: 04.07.2019 - 17:00
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Go Parallel

This is a first post in a series of posts about parallel programming with

Автор: Dmitry Vyukov Последнее обновление: 28.05.2018 - 18:30
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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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Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Автор: Mike P. (Intel) Последнее обновление: 04.07.2019 - 19:51
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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
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Intel® Data Analytics Acceleration Library

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Автор: James R. (Blackbelt) Последнее обновление: 27.08.2019 - 13:50
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英特尔® 数据分析加速库

The Intel® Data Analytics Acceleration Library (Intel® DAAL) helps speed big data analytics by providing highly optimized algorithmic building blocks for all data analysis stages (Pre-processing, Transformation, Analysis, Modeling, Validation, and Decision Making) for offline, streaming and distributed analytics usages. It’s designed for use with popular data platforms including Hadoop*, Spark*,...
Автор: James R. (Blackbelt) Последнее обновление: 27.08.2019 - 13:50
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The 0-Day Challenge: What is the Pulse of the Internet?

The core components of the Internet get updated constantly. Every time the source changes, the health and performance can change. A single source code change can fail to build, can break compatibility with existing code and can change the performance anywhere from a fraction of a percent up to 10% or more on major customer workloads. We're trying to read the pulse of our core components (Python,...
Автор: David S. (Blackbelt) Последнее обновление: 15.10.2019 - 17:51
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Celebrating a Decade of Parallel Programming with Intel® Threading Building Blocks (Intel® TBB)

This year marks the tenth anniversary of Intel® Threading Building Blocks (Intel® TBB).

Автор: Sharmila C. (Intel) Последнее обновление: 15.10.2019 - 18:16