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Intel Cluster Ready FAQ: Customer benefits

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

Criado por Krotz-Vogel, Werner (Intel) Última atualização em 06/07/2019 - 11:10
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Intel Cluster Ready FAQ: Hardware vendors, system integrators, platform suppliers

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

Criado por Krotz-Vogel, Werner (Intel) Última atualização em 06/07/2019 - 11:10
Article

Intel Cluster Ready FAQ: Software vendors (ISVs)

Why should we join the Intel Cluster Ready program?

Criado por Krotz-Vogel, Werner (Intel) Última atualização em 06/07/2019 - 11:10
Mensagem de blog

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。

Criado por Mike P. (Intel) Última atualização em 06/07/2019 - 17:10
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.
Criado por Gennady F. (Blackbelt) Última atualização em 05/07/2019 - 14:54
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.
Criado por Gennady F. (Blackbelt) Última atualização em 05/07/2019 - 14:55
Article

Understanding NUMA for 3D Isotropic Finite Difference (3DFD) Wave Equation Code

This article demonstrates techniques that software developers can use to identify and fix NUMA-related performance issues in their applications.
Criado por Sunny G. (Intel) Última atualização em 05/07/2019 - 20:12
Article

了解面向三维同性有限差分 (3DFD) 波动方程代码的 NUMA

本文将介绍一些技巧,帮助软件开发人员识别并修复使用最新英特尔软件开发工具时遇到的与 NUMA 相关的应用性能问题。

Criado por Sunny G. (Intel) Última atualização em 05/07/2019 - 20:13
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.

Criado por Vadim Pirogov (Intel) Última atualização em 21/03/2019 - 12:00
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。

Criado por Vadim Pirogov (Intel) Última atualização em 21/03/2019 - 12:08