Algorithm and data optimization techniques for scaling to massively threaded systems

John A. Stratton; Christopher Rodrigues; I. Jui Ray Sung; Li Wen Chang; Nasser Anssari; Geng Daniel Liu; Wen Mei W. Hwu; Nady Obeid

doi:10.1109/MC.2012.194

Algorithm and data optimization techniques for scaling to massively threaded systems

John A. Stratton, Christopher Rodrigues, I. Jui Ray Sung, Li Wen Chang, Nasser Anssari, Geng Daniel Liu, Wen Mei W. Hwu, Nady Obeid

Research output: Contribution to specialist publication › Article

Abstract

A study of the implementation patterns among massively threaded applications for many-core GPUs reveals that each of the seven most commonly used algorithm and data optimization techniques can enhance the performance of applicable kernels by 2 to 10× in current processors while also improving future scalability.

Original language	English (US)
Pages	26-32
Number of pages	7
Volume	45
No	8
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2012.194
State	Published - 2012

Keywords

Parboil benchmarks
accelerators
massively threaded systems
optimization patterns
scalability

ASJC Scopus subject areas

Computer Science(all)

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10.1109/MC.2012.194

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author = "Stratton, {John A.} and Christopher Rodrigues and Sung, {I. Jui Ray} and Chang, {Li Wen} and Nasser Anssari and Liu, {Geng Daniel} and Hwu, {Wen Mei W.} and Nady Obeid",

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AU - Hwu, Wen Mei W.

AU - Obeid, Nady

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Algorithm and data optimization techniques for scaling to massively threaded systems

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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