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Title: Architecture-Aware Approximate Computing [Article]
Authors: Karaköy, M.
Kislal, O.
Tang, X.
Kandemir, M.T.
Arunachalam, M.
Keywords: approximate computing
manycore system
Application programs
Economic and social effects
Energy conservation
Critical questions
Different domains
Error bound
Number of datum
Output accuracy
Output quality
Program slicing
Computer architecture
Issue Date: 2019
Publisher: Association for Computing Machinery
Abstract: Observing that many application programs from different domains can live with less-Than-perfect accuracy, existing techniques try to trade off program output accuracy with performance-energy savings. While these works provide point solutions, they leave three critical questions regarding approximate computing unanswered: (i) what is the maximum potential of skipping (i.e., not performing) data accesses under a given inaccuracy bound?; (ii) can we identify the data accesses to drop randomly, or is being architecture aware critical?; and (iii) do two executions that skip the same number of data accesses always result in the same output quality (error)? This paper first provides answers to these questions using ten multithreaded workloads, and then presents a program slicing-based approach that identifies the set of data accesses to drop. Results indicate 8.8% performance improvement and 13.7% energy saving are possible when we set the error bound to 2%, and the corresponding improvements jump to 15% and 25%, respectively, when the error bound is raised to 4%. © 2019 Copyright is held by the owner/author(s).
ISSN: 0163-5999
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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