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cs.DC2023
A Portable Framework for Accelerating Stencil Computations on Modern Node Architectures
Ryuichi Sai, John Mellor-Crummey, Jinfan Xu +1
Finite-difference methods based on high-order stencils are widely used in seismic simulations, weather forecasting, computational fluid dynamics, and other scientific applications.…
cs.LG2023
LoopTune: Optimizing Tensor Computations with Reinforcement Learning
Dejan Grubisic, Bram Wasti, Chris Cummins +2
Advanced compiler technology is crucial for enabling machine learning applications to run on novel hardware, but traditional compilers fail to deliver performance, popular auto-tun…