Low power GPGPU computation with imprecise hardware

  title={Low power GPGPU computation with imprecise hardware},
  author={Hang Zhang and Mateja Putic and John Lach},
  journal={2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)},
Massively parallel computation in GPUs significantly boosts performance of compute-intensive applications but creates power and thermal issues that limit further performance scaling. This paper demonstrates significant GPGPU power savings by relaxing application accuracy requirements and enabling the use of low power imprecise hardware (IHW). A synthesized set of novel imprecise floating point arithmetic units is presented. GPGPU-Sim and GPUWattch are used to estimate impacts of IHW units on… CONTINUE READING
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