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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
Блоги

Brain Development Simulation, 300x Faster

Автор: Andrey Vladimirov Последнее обновление: 04.07.2019 - 17:45
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

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

Hybrid Parallelism: A MiniFE* Case Study

This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.
Автор: David M. Последнее обновление: 15.10.2019 - 16:40
Article

Intel Cluster Ready FAQ: Customer benefits

Q: Why should we select a certified Intel Cluster Ready system and registered Intel Cluster Ready applications?

Автор: Krotz-Vogel, Werner (Intel) Последнее обновление: 15.10.2019 - 16:50
Article

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Автор: Gennady F. (Blackbelt) Последнее обновление: 15.10.2019 - 16:50
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Автор: Gennady F. (Blackbelt) Последнее обновление: 15.10.2019 - 16:50