Quality of Service Profiling and Autotuning for Energy-Aware Approximate Programming
نویسندگان
چکیده
One promising approach to energy-efficient computation, approximate computing, trades off output precision for gains in energy efficiency. Many applications can easily tolerate small errors, especially if they are handled in a disciplined manner. However, approximation introduces an inherent tradeoff between quality of service and energy efficiency. Existing approaches lack ways to quantify and study these tradeoffs. This paper proposes tools to prototype, profile, and automatically tune the quality of programs designed to run on future approximate hardware. We describe the software layers required in such a system and discuss design considerations. We also present an OCaml-based prototype of our tool suite, and describe three case studies that we performed with it.
منابع مشابه
Profiling and Autotuning for Energy-Aware Approximate Programming
One promising approach to energy-efficient computation, approximate computing, trades off output precision for gains in energy efficiency. Many applications can easily tolerate small errors, especially if they are handled in a disciplined manner. However, approximation introduces an inherent tradeoff between quality of result and energy efficiency. Existing approaches lack ways to quantify and ...
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