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Parallel Universe Magazine - Issue 16, November 2013

Authored by admin Last updated on 12/12/2018 - 18:08
Blog post

OpenMP and exceptions

We continue developing our static analyzer VivaMP and now we would like to speak about diagnosing errors relating to using C++ exceptions in parallel regions.

Authored by Andrey Karpov (Blackbelt) Last updated on 06/14/2017 - 16:49
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Parallel Universe Magazine - Issue 18, June 2014

Authored by admin Last updated on 05/16/2019 - 11:39
Article

Introduction to the Intel® Xeon Phi™ Coprocessor

This tutorial introduces the basic hardware and software architecture of the Intel Xeon Phi coprocessor, describing their general features, and provides a first view of the various programming mode

Authored by admin Last updated on 06/14/2019 - 13:00
Article

Choosing the right threading framework

This is the second article in a series of articles about High Performance Computing with the Intel Xeon Phi.

Authored by Last updated on 07/06/2019 - 16:30
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.
Authored by David M. Last updated on 07/06/2019 - 16:40
Article

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
Article

Приводим данные и код в порядок: данные и разметка, часть 2

In this pair of articles on performance and memory covers basic concepts to provide guidance to developers seeking 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
Article

Putting Your Data and Code in Order: Data and layout - Part 2

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
Blog post

Slides da palestra sobre Computação Paralela no FISL14

A palestra "Como domar uma fera de 1 TFlop que cabe na palma da sua mão" foi apresentada em 3/7/13, no FISL14, por Luciano Palma - Community Manager da Intel para Servidores e Computação de Alto De

Authored by Luciano Palma (Intel) Last updated on 07/06/2019 - 17:10