Conference paper Open Access

Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers

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

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <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: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:title>Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers</dc:title>
Views 77
Downloads 39
Data volume 8.8 MB
Unique views 66
Unique downloads 38


Cite as