Article

Intel Cluster Ready FAQ: Customer benefits

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

Authored by Krotz-Vogel, Werner (Intel) Last updated on 07/06/2019 - 11:10
Article

Intel Cluster Ready FAQ: Hardware vendors, system integrators, platform suppliers

Q: Why should we join the Intel® Cluster Ready program?

Authored by Krotz-Vogel, Werner (Intel) Last updated on 07/06/2019 - 11:10
Article

Intel Cluster Ready FAQ: Software vendors (ISVs)

Why should we join the Intel Cluster Ready program?

Authored by Krotz-Vogel, Werner (Intel) Last updated on 07/06/2019 - 11:10
Blog post

视频 - 借助英特尔至强融核协处理器实现并行编程

Colfax International 最近发布了下列一组关于英特尔(R) 至强融核(TM) 协处理器的视频。

Authored by Mike P. (Intel) Last updated on 07/06/2019 - 17:10
Blog post

Reducing the Runtime of mpitune

The Intel® MPI Library includes a tool - mpitune - that can help to optimize the execution parameters of the Intel MPI Library itself.

Authored by Michael Steyer (Intel) Last updated on 07/04/2019 - 10:49
Video

英特尔® MPI 运行时调谐

本次会议专场将重点关注英特尔® MPI 运行时自身的调谐,而不需要改变应用/工作负载本身。

Authored by Wei D. (Intel) Last updated on 01/28/2019 - 00:17
Article

Introducing DNN primitives in Intel® Math Kernel Library

Please notes: Deep Neural Network(DNN) component in MKL is deprecated since intel® MKL ​2019 and will be removed in the next intel® MKL Release.

Authored by Vadim Pirogov (Intel) Last updated on 03/21/2019 - 12:00
Article

Running Intel® Parallel Studio XE Analysis Tools on Clusters with Slurm* / srun

Since HPC applications target high performance, users are interested in analyzing the runtime performance of such applications.

Authored by Michael Steyer (Intel) Last updated on 07/06/2019 - 11:23
Article

在英特尔® 数学核心函数库中引入 DNN 基元

    深度神经网络 (DNN) 处于机器学习领域的前沿。这些算法在 20 世纪 90 年代后期得到了行业的广泛采用,最初应用于诸如银行支票手写识别等任务。深度神经网络在这一任务领域已得到广泛运用,达到甚至超过了人类能力。如今,DNN 已用于图像识别、视频和自然语言处理以及解决复杂的视觉理解问题,如自主驾驶等。DNN 在计算资源及其必须处理的数据量方面要求非常苛刻。

Authored by Vadim Pirogov (Intel) Last updated on 03/21/2019 - 12:08
Article

Python mpi4py on Intel® True Scale and Omni-Path Clusters

Python users of the mpi4py package, leveraging capabilities for distributed computing on supercomputers with the

Authored by Michael Steyer (Intel) Last updated on 07/06/2019 - 11:32