Article

OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Authored by Last updated on 07/31/2019 - 14:30
Blog post

Considerations for tuning Your Intel® Xeon Linux*/Apache* Server

In this blog, I will discuss a list of useful Linux commands to run, to tune your system for running the Apache web service, as well as some Apache tuning configuration changes which have shown to

Authored by Thai Le (Intel) Last updated on 07/06/2019 - 17:00
Article

Threading Intel® Integrated Performance Primitives Image Resize with Intel® Threading Building Blocks

Threading Intel® IPP Image Resize with Intel® TBB.pdf (157.18 KB) :
Authored by Jeffrey M. (Intel) Last updated on 07/31/2019 - 15:05
Blog post

Optimization of Data Read/Write in a Parallel Application

(This work was done by Vivek Lingegowda during his internship at Intel.)

Authored by Last updated on 07/04/2019 - 17:40
Blog post

Introduction to OpenMP* on YouTube*

Tim Mattson (Intel) has authored an extensive series of excellent videos as in introduction to OpenMP*.

Authored by Mike P. (Intel) Last updated on 07/04/2019 - 19:51
Article

GROMACS recipe for symmetric Intel® MPI using PME workloads

Objectives
Authored by Heinrich Bockhorst (Intel) Last updated on 07/06/2019 - 16:40
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。

Authored by Heinrich Bockhorst (Intel) Last updated on 07/06/2019 - 16:40
Article

Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Authored by David M. Last updated on 07/06/2019 - 16:40
Article

Offload Computations from Servers with an Intel® Xeon Phi™ Processor

Learn how to use Offload over Fabric software for a server migration path.
Authored by Jan Z. (Intel) Last updated on 07/06/2019 - 16:40
Article

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