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  4. MIDAS: Mutual Information Driven Approximate Synthesis
 
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MIDAS: Mutual Information Driven Approximate Synthesis
File(s)
sina_paper_isvlsi_2022.pdf (344.45 KB)
Accepted version
Author(s)
Boroumand, Sina
Bouganis, Christos-Savvas
Constantinides, George A
Type
Conference Paper
Abstract
Applications ranging from the Internet of Things (IoT) to high-performance computing demand energy-efficient hardware for processing and storage. Reducing computation accuracy has shown the potential to achieve high energy efficiency in hardware implementations. In recent years, several automatic approximate logic synthesis techniques have been proposed to build an approximate circuit systematically, trading off accuracy for hardware cost. In this paper, we propose a novel approximate logic synthesis technique to simplify circuits using mutual information by considering the input distribution. Our experimental result shows that our proposed methodology demonstrates improvements in terms of area, delay, and error compared to the state-of-the-art.
Date Issued
2022-10-18
Date Acceptance
2022-10-01
Citation
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022, pp.50-55
URI
http://hdl.handle.net/10044/1/104863
URL
https://ieeexplore.ieee.org/document/9912009
DOI
https://www.dx.doi.org/10.1109/ISVLSI54635.2022.00022
ISSN
2159-3477
Publisher
IEEE
Start Page
50
End Page
55
Journal / Book Title
2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000886230500009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
Subjects
approximate computing
Computer Science
Computer Science, Hardware & Architecture
Computer Science, Theory & Methods
DESIGN
logic synthesis
mutual information
Science & Technology
Technology
Publication Status
Published
Start Date
2022-07-04
Finish Date
2022-07-06
Coverage Spatial
Nicosia, Cyprus
Date Publish Online
2022-10-18
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