Performance laws and metrics for parallel architectures
Introduction to parallelism and parallel architectures
Article REF: H1088 V2
Performance laws and metrics for parallel architectures
Introduction to parallelism and parallel architectures

Authors : Franck CAPPELLO, Daniel ETIEMBLE

Publication date: August 10, 2017 | Lire en français

Logo Techniques de l'Ingenieur You do not have access to this resource.
Request your free trial access! Free trial

Already subscribed?

9. Performance laws and metrics for parallel architectures

9.1 Performance

This paragraph introduces various performance measures: peak performance, acceleration.

The simplest performance to calculate, but also the least useful for predicting the performance of a parallel architecture, is peak performance. This is simply obtained by multiplying the individual peak performance of all the processing units by their number in the architecture.

A widely used definition of peak performance is: the performance that the manufacturer guarantees you won't be able to exceed!

More relevant information is an application's computation time (or execution time). This can be used to derive the computation rate for floating-point or integer numbers. The following formula gives processing...

You do not have access to this resource.
Logo Techniques de l'Ingenieur

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?


Ongoing reading
Performance laws and metrics for parallel architectures

Article included in this offer

"Software technologies and System architectures"

( 227 articles )

Complete knowledge base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

View offer details