6 citations · 8 across the 2 of their papers we have counts for
3 papers
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…
cs.PL2022★ 6 cited
Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-Iteration
Tuowen Zhao, Tobi Popoola, Mary Hall +2
This paper presents a code generator for sparse tensor contraction computations. It leverages a mathematical representation of loop nest computations in the sparse polyhedral frame…