NDLI: Synergistic Architecture and Programming Model Support for Approximate Micropower Computing

Content Provider	IEEE Xplore Digital Library
Author	Tagliavini, G. Rossi, D. Marongiu, A. Benini, L.
Copyright Year	2015
Description	Author affiliation: DEI, Univ. of Bologna, Bologna, Italy (Tagliavini, G.; Rossi, D.; Marongiu, A.; Benini, L.)
Abstract	Energy consumption is a major constraining factor for embedded multi-core systems. Using aggressive voltage scaling can reduce power consumption, but memory operations become unreliable. Several embedded applications exhibit inherent tolerance to computation approximation, for which indicating parts that can tolerate errors has proven a viable way to reduce energy consumption. In this work we propose an extension to OpenMP to specify what regions of code and data are tolerant to approximation. A compiler pass places data into memory regions with different reliability guarantees according to their tolerance to errors. The voltage supply level is dynamically adjusted according to tolerance policies, with the overall goal of minimizing energy in full compliance with precision constraints.
Starting Page	280
Ending Page	285
File Size	376145
Page Count	6
File Format	PDF
e-ISBN	9781479987191
DOI	10.1109/ISVLSI.2015.64
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-08
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reliability Approximation methods Random access memory Memory management Resource management Sparse matrices many-core accelerators OpenMP approximate computing micropower computing
Content Type	Text
Resource Type	Article

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