Graphics Processing Unit (GPU) performance on an N-Body problem / by Pat Collins.

Format:

Book

Government document

Author/Creator:

Collins, Pat, author.

Contributor:

U.S. Army Research Laboratory, issuing body.

Lockheed Martin

Language:

English

Subjects (All):

Graphics processing units--Programming.

Graphics processing units.

Many-body problem.

CUDA (Computer architecture).

Genre:

Online resources.

Physical Description:

1 online resource (16 pages) : color illustrations

Place of Publication:

Aberdeen Proving Ground, MD : Army Research Laboratory, 2009.

Summary:

The objective of this study is to evaluate the performance of clusters of Nvidia graphics processing units on an N-body problem derived from the computation of vector potentials. Two clusters are used for this purpose. The first is a 2-node, Intel Xeon system with a single Tesla S870 system cross connected to each node. The second is a 20-node Opteron system with one Quadro FX 5600 GPU per node. The results show a significant increase in performance when GPUs accelerate the computation. With 16 GPUs and a sufficiently large problem, an estimated 3 teraflops is achieved.

Notes:

"August 2009."

Includes bibliographical references (page 13).

Online resource, PDF version; title from title page (ARL, viewed August 29, 2017).

Other Format:

Print version: Collins, Pat. Graphics Processing Unit (GPU) performance on an N-Body problem

OCLC:

713206243