70 citations · 205 across the 31 of their papers we have counts for
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cs.PF2019★ 5 cited
The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study
Zhenheng Tang, Yuxin Wang, Qiang Wang +1
Over the past years, great progress has been made in improving the computing power of general-purpose graphics processing units (GPGPUs), which facilitates the prosperity of deep n…
cs.PF2017★ 6 cited
GPGPU Performance Estimation with Core and Memory Frequency Scaling
Qiang Wang, Xiaowen Chu
Graphics Processing Units (GPUs) support dynamic voltage and frequency scaling (DVFS) in order to balance computational performance and energy consumption. However, there still lac…