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Improve Intel® MKL Performance for Small Problems: The Use of MKL_DIRECT_CALL

One of the big new features introduced in the Intel® Math Kernel Library (Intel® MKL) 11.2 is the greatly improved performance for small problem sizes.

Автор: Zhang, Zhang (Intel) Последнее обновление: 07.07.2019 - 10:35
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Автор: David M. Последнее обновление: 06.07.2019 - 16:40
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Debug Intel® Transactional Synchronization Extensions

If printf or fprintf functions cause transaction aborts, use Intel® Processor Trace as a work-around.
Автор: Roman Dementiev (Intel) Последнее обновление: 04.07.2019 - 17:00
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

How to use the MPI-3 Shared Memory in Intel® Xeon Phi™ Processors

Code Sample included: Learn how to use MPI-3 shared memory feature using the corresponding APIs on the Intel® Xeon Phi™ processor.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 06.07.2019 - 16:30
Article

如何在英特尔® 至强融核™ 处理器中使用 MPI-3 共享内存

学习如何在英特尔® 至强融核™ 处理器中使用 MPI-3 共享内存
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 06.07.2019 - 16:30
Article

Using Intel® MPI Library on Intel® Xeon Phi™ Product Family

This document is designed to help users get started writing code and running MPI applications using the Intel® MPI Library on a development platform that includes the Intel® Xeon Phi™ processor.
Автор: Nguyen, Loc Q (Intel) Последнее обновление: 21.03.2019 - 12:00
Article

Getting Started with Intel® Optimization for PyTorch* on Second Generation Intel® Xeon® Scalable Processors

Accelerate deep learning PyTorch* code on second generation Intel® Xeon® Scalable processor with Intel® Deep Learning Boost.
Автор: Nathan Greeneltch (Intel) Последнее обновление: 15.08.2019 - 12:50