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Trade-off between energy and quality of service through dynamic operand truncation and fusion

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Published:20 May 2014Publication History

ABSTRACT

Energy efficiency has emerged as a major design concern for embedded and portable electronics. Conventional approaches typically impact performance and often require significant design-time modifications. In this paper, we propose a novel approach for improving energy efficiency through judicious fusion of operations. The proposed approach has two major distinctions: (1) the fusion is enabled by operand truncation, which allows representing multiple operations into a reasonably sized lookup table (LUT); and (2) it works for large varieties of functions. Most applications in the domain of digital signal processing (DSP) and graphics can tolerate some computation error without large degradation in output quality. Our approach improves energy efficiency with graceful degradation in quality. The proposed fusion approach can be applied to trade-off energy efficiency with quality at run time and requires virtually no circuit or architecture level modifications in a processor. Using our software tool for automatic fusion and truncation, the effectiveness of the approach is studied for four common applications. Simulation results show promising improvements (19-90\%) in energy delay product with minimal impact on quality.

References

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  2. K. Kunaparaju, S. Narasimhan and S. Bhunia, "VaROT: Methodology for Variation-Tolerant DSP Hardware Design Using Post-Silicon Truncation of Operand Width," VLSI Design, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  4. S. Paul and S. Bhunia, "Dynamic Transfer of Computation to Processor Cache for Yield and Reliability Improvement," IEEE Trans. on VLSI systems, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Trade-off between energy and quality of service through dynamic operand truncation and fusion

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          • Published in

            cover image ACM Conferences
            GLSVLSI '14: Proceedings of the 24th edition of the great lakes symposium on VLSI
            May 2014
            376 pages
            ISBN:9781450328166
            DOI:10.1145/2591513

            Copyright © 2014 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 20 May 2014

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            Acceptance Rates

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