SIGN IN
SIGN UP
On the performance potential of different types of speculative thread-level parallelism: The DL version of this paper includes corrections that were not made available in the printed proceedings
Full Text:
Pdf
Buy this Article
Authors:
Arun Kejariwal
University of California at Irvine, Irvine, CA
Xinmin Tian
Intel Corporation, Santa Clara, CA
Wei Li
Intel Corporation, Santa Clara, CA
Milind Girkar
Intel Corporation, Santa Clara, CA
Sergey Kozhukhov
Intel Corporation, Novosibirsk, Russia
Hideki Saito
Intel Corporation, Santa Clara, CA
Utpal Banerjee
Intel Corporation, Santa Clara, CA
Alexandru Nicolau
University of California at Irvine, Irvine, CA
Alexander V. Veidenbaum
University of California at Irvine, Irvine, CA
Constantine D. Polychronopoulos
University of Illinois at Urbana-Champaign, Urbana, IL
2006 Article
Bibliometrics
· Downloads (6 Weeks): 2
· Downloads (12 Months): 22
· Downloads (cumulative): 529
· Citation Count: 13
Published in:
· Proceeding
ICS '06
Proceedings of the 20th annual international conference on Supercomputing
Page 24
ACM
New York, NY
, USA
©2006
table of contents
ISBN:1-59593-282-8
doi>
10.1145/1183401.1183407
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
ICS'13
Share:
|
Tags:
control dependence
data dependence
doall loops
measurement
measurement techniques
parallel programming
performance
performance evaluation
speculative execution
value dependence
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder