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Article

Using Intel® MKL and Intel® TBB in the same application

Intel MKL 11.3 has introduced Intel TBB support.

Автор: Gennady F. (Blackbelt) Последнее обновление: 01.08.2019 - 09:22
Article

Programação Vetorial e Paralela com amplificador Intel® VTune™

Eduardo H. M. Cruz, Matheus S. Serpa, Arthur M. Krause, Philippe O. A. Navaux

Автор: Последнее обновление: 12.12.2018 - 18:00
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Автор: админ Последнее обновление: 30.09.2019 - 17:28
Article

Case Study: Optimized Code for Neural Cell Simulations

One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
Автор: Последнее обновление: 03.10.2019 - 07:55
Article

案例研究: 面向神经细胞模拟优化代码

Intel held the Intel® Modern Code Developer Challenge that had about 2,000 students from 130 universities in 19 countries registered to participate in the Challenge. They were provided access to Intel® Xeon Phi™ coprocessors to optimize code used in a CERN openlab brain simulation research project. In this article Daniel Vea Falguera (Modern Code Developer Challenge winner) shares how he...
Автор: Последнее обновление: 03.10.2019 - 07:56
Article

基于英特尔® 架构加速金融应用

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Автор: George Raskulinec (Intel) Последнее обновление: 03.10.2019 - 08:00
Article

面向使用 PME 工作负载的对称英特尔® MPI 的 GROMACS 方案

目标

该文件包(脚本及其说明)提供了针对对称英特尔运行的构建和运行环境。 该文件实际上是自述 (README) 文件包。 对称指采用至强™ 可执行文件和至强融核™ 可执行文件,两者通过英特尔 MPI 同时运行以传输 MPI 消息和集体数据。

Автор: Heinrich Bockhorst (Intel) Последнее обновление: 03.10.2019 - 08:11
Article

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Автор: Последнее обновление: 15.10.2019 - 15:30
Article

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.
Автор: Последнее обновление: 15.10.2019 - 15:30
Article

GROMACS Recipe for Symmetric Intel® MPI Using PME Workloads

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Автор: Heinrich Bockhorst (Intel) Последнее обновление: 15.10.2019 - 16:40