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Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems
August 2012 (vol. 45 no. 8)
pp. 26-32
ASCII Text
x 
 
John A. Stratton, Christopher Rodrigues, I-Jui Sung, Li-Wen Chang, Nasser Anssari, Geng Liu, Wen-mei W. Hwu, Nady Obeid, "Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems," Computer, vol. 45, no. 8, pp. 26-32, August, 2012.
 
 
BibTex
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@article{ 10.1109/MC.2012.194,
author = {John A. Stratton and Christopher Rodrigues and I-Jui Sung and Li-Wen Chang and Nasser Anssari and Geng Liu and Wen-mei W. Hwu and Nady Obeid},
title = {Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems},
journal ={Computer},
volume = {45},
number = {8},
issn = {0018-9162},
year = {2012},
pages = {26-32},
doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2012.194},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - Computer
TI - Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems
IS - 8
SN - 0018-9162
SP26
EP32
EPD - 26-32
A1 - John A. Stratton,
A1 - Christopher Rodrigues,
A1 - I-Jui Sung,
A1 - Li-Wen Chang,
A1 - Nasser Anssari,
A1 - Geng Liu,
A1 - Wen-mei W. Hwu,
A1 - Nady Obeid,
PY - 2012
KW - Instruction sets
KW - System-on-a-chip
KW - Bandwidth
KW - Histograms
KW - Optimization
KW - Graphics processing unit
KW - Multithreading
KW - Parboil benchmarks
KW - massively threaded systems
KW - optimization patterns
KW - accelerators
KW - scalability
VL - 45
JA - Computer
ER -
 
John A. Stratton, University of Illinois at Urbana-Champaign
Christopher Rodrigues, University of Illinois at Urbana-Champaign
I-Jui Sung, University of Illinois at Urbana-Champaign
Li-Wen Chang, University of Illinois at Urbana-Champaign
Nasser Anssari, University of Illinois at Urbana-Champaign
Geng Liu, University of Illinois at Urbana-Champaign
Wen-mei W. Hwu, University of Illinois at Urbana-Champaign
Nady Obeid, KLA-Tencor
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. The featured Web extra is a video interview with author John Stratton, who describes how implementation patterns can improve future scalability. YouTube URL: http://youtu.be/fgn9LJbInMw
Index Terms:
Instruction sets,System-on-a-chip,Bandwidth,Histograms,Optimization,Graphics processing unit,Multithreading,Parboil benchmarks,massively threaded systems,optimization patterns,accelerators,scalability
Citation:
John A. Stratton, Christopher Rodrigues, I-Jui Sung, Li-Wen Chang, Nasser Anssari, Geng Liu, Wen-mei W. Hwu, Nady Obeid, "Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems," Computer, vol. 45, no. 8, pp. 26-32, Aug. 2012, doi:10.1109/MC.2012.194
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