2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
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…
GEVO: GPU Code Optimization using Evolutionary Computation
Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest +1
GPUs are a key enabler of the revolution in machine learning and high performance computing, functioning as de facto co-processors to accelerate large-scale computation. As the pro…