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Article

Intel Guide for Developing Multithreaded Applications

Download this guide for developing multithreaded applications, which also includes general topics such as application threading and synchronization.
Автор: админ Последнее обновление: 06.07.2019 - 16:40
Article

Superscalar Programming 101 (Matrix Multiply) Part 1 of 5

Part one of a five-part series, this article teaches a methodology to interpret statistics gathered during test runs and use those interpretations to improve parallel code.
Автор: jimdempseyatthecove (Blackbelt) Последнее обновление: 04.07.2019 - 22:00
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: 21.03.2019 - 12:00
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
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: 06.07.2019 - 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.
Автор: David M. Последнее обновление: 06.07.2019 - 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: 06.07.2019 - 16:40
File Wrapper

Parallel Universe Magazine - Issue 2, March 2010

Автор: админ Последнее обновление: 23.06.2019 - 19:00
File Wrapper

Parallel Universe Magazine - Issue 3, June 2010

Автор: админ Последнее обновление: 12.12.2018 - 18:08