NDLI: Data-triggered threads: Eliminating redundant computation

Content Provider	IEEE Xplore Digital Library
Author	Hung-Wei Tseng Tullsen, D.M.
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, U.S.A. (Hung-Wei Tseng; Tullsen, D.M.)
Abstract	This paper introduces the concept of data-triggered threads. Unlike threads in parallel programs in conventional programming models, these threads are initiated on a change to a memory location. This enables increased parallelism and the elimination of redundant, unnecessary computation. This paper focuses primarily on the latter. It is shown that 78% of all loads fetch redundant data, leading to a high incidence of redundant computation. By expressing computation through data-triggered threads, that computation is executed once when the data changes, and is skipped whenever the data does not change. The set of C SPEC benchmarks show performance speedup of up to 5.9X, and averaging 46%.
Starting Page	181
Ending Page	192
File Size	1737895
Page Count	12
File Format	PDF
ISBN	9781424494323
ISSN	15300897
e-ISBN	9781424494354
DOI	10.1109/HPCA.2011.5749727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-02-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruction sets Computational modeling Programming Load modeling Data structures Parallel processing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Data-triggered threads: Eliminating redundant computation