Part 3: Expressing Parallelism with Vectors

Episode 3 of the “Hands-On Workshop (HOW) series on parallel programming and optimization with Intel architectures” introduces data parallelism and automatic vectorization.

Criado por Última atualização em 24/09/2016 - 17:08
Blog post

Intel presente no SECOMP 2013 da UNIFEI

Criado por Luciano Palma (Intel) Última atualização em 24/09/2016 - 17:08
Blog post

Building a highly scalable 3D particle system

Particle systems are an ideal candidate for multi-threading in games. Most games have particle systems and their general nature of independent entities lends well to parallelism.

Criado por Orion Granatir (Intel) Última atualização em 24/09/2016 - 17:08

Intel® VTune™ Amplifier XE Release Notes

What's New? describes features and changes since the previous release.

Release Notes include important information, such as

Criado por MrAnderson (Intel) Última atualização em 21/09/2016 - 09:24
Forum topic

Updated ISE doc, rev 25 & PCOMMIT change blog

Revision 25 of the instruction set extension document was released, now including a change-log.


Criado por Mark Charney (Intel) Última atualização em 15/09/2016 - 05:30

Advanced Topics in Vector Programming

Vector programming is an addition to parallel programming that targets SIMD hardware.
Criado por Robert Geva (Intel) Última atualização em 12/09/2016 - 16:58

Best Practices in Vector Programming

Intel® AVX-512 is the new instruction set extension for SIMD. Robert shares how it offers unique benefits, especially for financial applications.

Criado por Robert Geva (Intel) Última atualização em 12/09/2016 - 15:01

Caffe* Optimized for Intel® Architecture: Applying Modern Code Techniques

This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Criado por Vadim K. (Intel) Última atualização em 09/09/2016 - 09:45

Virtual Vector Function Supported in Intel® C++ Compiler 17.0

Intel® C++ Compiler 17.0 starts supporting virtual vector functions.

Criado por Yuan C. (Intel) Última atualização em 07/09/2016 - 17:22

Fine-Tuning Vectorization and Memory Traffic on Intel® Xeon Phi™ Coprocessors: LU Decomposition of Small Matrices

Common techniques for fine-tuning the performance of automatically vectorized loops in applications for Intel® Xeon Phi™ coprocessors are discussed. These techniques include strength reduction, regularizing the vectorization pattern, data alignment and aligned data hint, and pointer disambiguation.
Criado por Vadim K. (Intel) Última atualização em 07/09/2016 - 15:40
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