136 citations · 215 across the 23 of their papers we have counts for
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cs.PF2020
Machine Learning Enabled Scalable Performance Prediction of Scientific Codes
Gopinath Chennupati, Nandakishore Santhi, Phill Romero +1
We present the Analytical Memory Model with Pipelines (AMMP) of the Performance Prediction Toolkit (PPT). PPT-AMMP takes high-level source code and hardware architecture parameters…
cs.DC2020★ 34 cited
Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs
Yehia Arafa, Ammar ElWazir, Abdelrahman ElKanishy +6
GPUs are prevalent in modern computing systems at all scales. They consume a significant fraction of the energy in these systems. However, vendors do not publish the actual cost of…