5 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.PF2024
Integrating ytopt and libEnsemble to Autotune OpenMC
Xingfu Wu, John R. Tramm, Jeffrey Larson +7
ytopt is a Python machine-learning-based autotuning software package developed within the ECP PROTEAS-TUNE project. The ytopt software adopts an asynchronous search framework that…
cs.LG2024★ 5 cited
Transfer-Learning-Based Autotuning Using Gaussian Copula
Thomas Randall, Jaehoon Koo, Brice Videau +6
As diverse high-performance computing (HPC) systems are built, many opportunities arise for applications to solve larger problems than ever before. Given the significantly increase…
cs.DC2023★ 2 cited
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales
Xingfu Wu, Prasanna Balaprakash, Michael Kruse +7
As we enter the exascale computing era, efficiently utilizing power and optimizing the performance of scientific applications under power and energy constraints has become critical…