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OpenMP 相关技巧

面向英特尔® MIC 架构的编译器方

Authored by AmandaS (Intel) Last updated on 03/21/2019 - 12:00
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第 18 集:其他主题 - 异构系统中的负载平衡

在本视频中,我们将介绍异构系统中的负载平衡。

Authored by Last updated on 04/26/2019 - 04:01
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使用编译器选项 -opt-threads-per-core 针对每内核的 1-4 个线程进行调度

面向英特尔® MIC 架构的编译器方法

使用编译器选项针对每内核的 1-4 条线程进行调度

Authored by AmandaS (Intel) Last updated on 03/21/2019 - 12:00
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著作 - High Performance Parallelism Pearls

A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
Authored by Mike P. (Intel) Last updated on 03/21/2019 - 12:00
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面向英特尔® 架构优化的 Caffe*:使用现代代码技巧

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.
Authored by Last updated on 07/06/2019 - 16:40
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英特尔® 至强融核™ 协处理器(代号 “Knights Landing”)— 应用就绪

为了将来在英特尔® 至强™ 处理器和英特尔® 至强融核™ 协处理器(代号 Knights Landing)上实现部分应用就绪,开发人员主要希望从两个方面改进工作负载:

矢量化/代码生成 线程并行性

本文主要讨论矢量化/代码生成,并介绍了一些有用的线程并行工具和资源。

Authored by Last updated on 07/06/2019 - 16:40
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整理您的数据和代码: 数据和布局 - 第 2 部分

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Authored by David M. Last updated on 07/06/2019 - 16:40
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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。

Authored by Sunny G. (Intel) Last updated on 07/05/2019 - 20:13
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什么是代码现代化?

现代高性能计算机由下列资源组合构建而成:多核处理器、

Authored by Mike P. (Intel) Last updated on 07/06/2019 - 16:40
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线程并行化的概念及其用法

An Intro to Multi-Level Parallelism for High-Performance Computing by Clay Breshears | Life Sciences Software Architect, Intel
Authored by Clay B. (Blackbelt) Last updated on 12/12/2018 - 18:08