Conference paper Open Access
Leon, Vasileios; Asimakopoulos, Konstantinos; Xydis, Sotirios; Soudris, Dimitrios; Pekmestzi, Kiamal
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="URL">https://zenodo.org/record/3472504</identifier> <creators> <creator> <creatorName>Leon, Vasileios</creatorName> <givenName>Vasileios</givenName> <familyName>Leon</familyName> <affiliation>National Technical University of Athens, Greece</affiliation> </creator> <creator> <creatorName>Asimakopoulos, Konstantinos</creatorName> <givenName>Konstantinos</givenName> <familyName>Asimakopoulos</familyName> <affiliation>National Technical University of Athens, Greece</affiliation> </creator> <creator> <creatorName>Xydis, Sotirios</creatorName> <givenName>Sotirios</givenName> <familyName>Xydis</familyName> <affiliation>National Technical University of Athens, Greece</affiliation> </creator> <creator> <creatorName>Soudris, Dimitrios</creatorName> <givenName>Dimitrios</givenName> <familyName>Soudris</familyName> <affiliation>National Technical University of Athens, Greece</affiliation> </creator> <creator> <creatorName>Pekmestzi, Kiamal</creatorName> <givenName>Kiamal</givenName> <familyName>Pekmestzi</familyName> <affiliation>National Technical University of Athens, Greece</affiliation> </creator> </creators> <titles> <title>Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2019</publicationYear> <dates> <date dateType="Issued">2019-07-01</date> </dates> <resourceType resourceTypeGeneral="Text">Conference paper</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3472504</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1145/3316781.3317793</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Approximate computing appears as an emerging and promising solution for energy-efficient system designs, exploiting the inherent error-tolerant nature of various applications. In this paper, targeting multiplication circuits, i.e., the energy-hungry counterpart of hardware accelerators, an extensive exploration of the error--energy trade-off, when combining arithmetic-level approximation techniques, is performed for the first time. Arithmetic-aware approximations deliver significant energy reductions, while allowing to control the error values with discipline by setting accordingly a configuration parameter. Inspired from the promising results of prior works with one configuration parameter, we propose 5 hybrid design families for approximate and energy-friendly hardware multipliers, consisting of two independent parameters to tune the approximation levels. Interestingly, the resolution of the state-of-the-art Pareto diagram is improved, giving the flexibility to achieve better energy gains for a specific error constraint imposed by the system. Moreover, we outperform prior works in the field of approximate multipliers by up to 60% energy reduction, and thus, we define the new Pareto front.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/780572/">780572</awardNumber> <awardTitle>Software Development toolKit for Energy optimization and technical Debt elimination</awardTitle> </fundingReference> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/801015/">801015</awardNumber> <awardTitle>Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems</awardTitle> </fundingReference> </fundingReferences> </resource>
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