1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation
Jhe-Yu Liou, Stephanie Forrest, Carole-Jean Wu
Parallel accelerators, such as GPUs, are key enablers for large-scale Machine Learning (ML) applications. However, ML model developers often lack detailed knowledge of the underlyi…
cs.SE2022★ 1 cited
Understanding the Power of Evolutionary Computation for GPU Code Optimization
Jhe-Yu Liou, Muaaz Awan, Steven Hofmeyr +2
Achieving high performance for GPU codes requires developers to have significant knowledge in parallel programming and GPU architectures, and in-depth understanding of the applicat…