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Eliminating Redundant Computation and Exposing Parallelism through Data-Triggered Threads
May/June 2012 (vol. 32 no. 3)
pp. 38-47
ASCII Text
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Hung-Wei Tseng, Dean M. Tullsen, "Eliminating Redundant Computation and Exposing Parallelism through Data-Triggered Threads," IEEE Micro, vol. 32, no. 3, pp. 38-47, May/June, 2012.
 
 
BibTex
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@article{ 10.1109/MM.2012.14,
author = {Hung-Wei Tseng and Dean M. Tullsen},
title = {Eliminating Redundant Computation and Exposing Parallelism through Data-Triggered Threads},
journal ={IEEE Micro},
volume = {32},
number = {3},
issn = {0272-1732},
year = {2012},
pages = {38-47},
doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2012.14},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Micro
TI - Eliminating Redundant Computation and Exposing Parallelism through Data-Triggered Threads
IS - 3
SN - 0272-1732
SP38
EP47
EPD - 38-47
A1 - Hung-Wei Tseng,
A1 - Dean M. Tullsen,
PY - 2012
KW - parallel
KW - multithreaded processors
KW - dataflow languages
VL - 32
JA - IEEE Micro
ER -
 
Hung-Wei Tseng, University of California, San Diego
Dean M. Tullsen, University of California, San Diego
Unlike threads in parallel programs created by conventional programming, data-triggered threads are initiated when a memory value is changed. By expressing computation through these threads, computation is executed only when the data changes and is skipped whenever the data does not change. The authors' model achieves performance speedups of up to 5.9x, averaging 45.6 percent, with SPEC2000 benchmarks.
Index Terms:
parallel, multithreaded processors, dataflow languages
Citation:
Hung-Wei Tseng, Dean M. Tullsen, "Eliminating Redundant Computation and Exposing Parallelism through Data-Triggered Threads," IEEE Micro, vol. 32, no. 3, pp. 38-47, May-June 2012, doi:10.1109/MM.2012.14
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