July 1, 2019 Conference paper Open Access

Leon, Vasileios; Asimakopoulos, Konstantinos; Xydis, Sotirios; Soudris, Dimitrios; Pekmestzi, Kiamal

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  <dc:creator>Leon, Vasileios</dc:creator>
  <dc:creator>Asimakopoulos, Konstantinos</dc:creator>
  <dc:creator>Xydis, Sotirios</dc:creator>
  <dc:creator>Soudris, Dimitrios</dc:creator>
  <dc:creator>Pekmestzi, Kiamal</dc:creator>
  <dc:date>2019-07-01</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://zenodo.org/record/3472504</dc:identifier>
  <dc:identifier>10.1145/3316781.3317793</dc:identifier>
  <dc:identifier>oai:zenodo.org:3472504</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/780572/</dc:relation>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/801015/</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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