21 citations · 66 across the 18 of their papers we have counts for
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cs.DC2019★ 4 cited
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning
Newsha Ardalani, Urmish Thakker, Aws Albarghouthi +1
Porting code from CPU to GPU is costly and time-consuming; Unless much time is invested in development and optimization, it is not obvious, a priori, how much speed-up is achievabl…
cs.DC2019★ 13 cited
Measuring scheduling efficiency of RNNs for NLP applications
Urmish Thakker, Ganesh Dasika, Jesse Beu +1
Recurrent neural networks (RNNs) have shown state of the art results for speech recognition, natural language processing, image captioning and video summarizing applications. Many…