Article | REF: H1088 V2

Introduction to parallelism and parallel architectures

Authors: Franck CAPPELLO, Daniel ETIEMBLE

Publication date: August 10, 2017

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

3. Sources of parallelism and fundamental operations

3.1 Data parallelism

In data parallelism, the same operation is carried out simultaneously by several processors on different data. This definition covers two notions: the presence of data parallelism and the way in which this parallelism is exploited.

Example:

Let's take a simple example from linear algebra, and more specifically from matrix calculus. The addition of two matrices consists in adding all the elements of the same index of the two operand matrices and placing the result in the element of the same index of the result matrix. Here's the corresponding loop for operand matrices B and C and result matrix A :

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Mathematics

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Sources of parallelism and fundamental operations
Outline