Фильтры

Article

Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

Автор: Anoop M. (Intel) Последнее обновление: 12.12.2018 - 18:00
Article

Vectorizing Loops with Calls to User-Defined External Functions

Introduction

Автор: Anoop M. (Intel) Последнее обновление: 12.12.2018 - 18:00
File Wrapper

Parallel Universe Magazine - Issue 18, June 2014

Автор: админ Последнее обновление: 16.05.2019 - 11:39
Article

Efficient Parallelization

This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.
Автор: Ronald W Green (Blackbelt) Последнее обновление: 30.09.2019 - 17:28
File Wrapper

Parallel Universe Magazine - Issue 8, September 2011

Автор: админ Последнее обновление: 01.10.2019 - 16:55
Блоги

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

Автор: Luciano Palma (Intel) Последнее обновление: 03.10.2019 - 09:03
Article

Improve Performance with Vectorization

This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
Автор: David M. Последнее обновление: 15.10.2019 - 15:30
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.

Автор: Последнее обновление: 15.10.2019 - 16:40
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.
Автор: David M. Последнее обновление: 15.10.2019 - 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.
Автор: David M. Последнее обновление: 15.10.2019 - 16:40