publication . Conference object . 2019

Cooperative Arithmetic-Aware Approximation Techniques for Energy-Efficient Multipliers

Unknown,; Leon, Vasileios; Asimakopoulos, Konstantinos; Xydis, Sotirios; Soudris, Dimitrios; Pekmestzi, Kiamal;
Open Access
  • Published: 01 Jul 2019
Abstract
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 wit...
Subjects
free text keywords: Electronic engineering, Efficient energy use, Multiplication, Pareto chart, Design space exploration, Approximate computing, Application-specific integrated circuit, Multi-objective optimization, Computational science, Computer science, Electronic circuit
Funded by
EC| EXA2PRO
Project
EXA2PRO
Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems
  • Funder: European Commission (EC)
  • Project Code: 801015
  • Funding stream: H2020 | RIA
,
EC| SDK4ED
Project
SDK4ED
Software Development toolKit for Energy optimization and technical Debt elimination
  • Funder: European Commission (EC)
  • Project Code: 780572
  • Funding stream: H2020 | RIA
Communities
FET H2020FET HPC: Transition to Exascale Computing
FET H2020FET HPC: Enhancing Programmability and boosting Performance Portability for Exascale Computing Systems
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