Data-Parallel Computing

1 March 2008

journal article
Published by Association for Computing Machinery (ACM) in Queue

Vol. 6 (2), 30-39
https://doi.org/10.1145/1365490.1365499

Abstract

Users always care about performance. Although often it’s just a matter of making sure the software is doing only what it should, there are many cases where it is vital to get down to the metal and leverage the fundamental characteristics of the processor.

Keywords

PERFORMANCE IMPROVEMENT
DATA-PARALLEL COMPUTING
HIGH-LEVEL DESCRIPTION
PROGRAMMABLE GRAPHICS PROCESSOR
FUNDAMENTAL CHARACTERISTIC
PROCESSOR MANUFACTURER
DATA-PARALLEL PARADIGM
INDIVIDUAL PROCESSOR
CODING PARADIGM
DATA-PARALLEL PROGRAMMING ENVIRONMENT

This publication has 3 references indexed in Scilit:

GPUTeraSort
Published by Association for Computing Machinery (ACM) ,2006
Glift
ACM Transactions on Graphics, 2006
Linear algebra operators for GPU implementation of numerical algorithms
ACM Transactions on Graphics, 2003

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