85 citations · 113 across the 14 of their papers we have counts for
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cs.PF2020
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization
Xingfu Wu, Michael Kruse, Prasanna Balaprakash +4
An autotuning is an approach that explores a search space of possible implementations/configurations of a kernel or an application by selecting and evaluating a subset of implement…
cs.DC2020★ 2 cited
Autotuning Search Space for Loop Transformations
Michael Kruse, Hal Finkel, Xingfu Wu
One of the challenges for optimizing compilers is to predict whether applying an optimization will improve its execution speed. Programmers may override the compiler's profitabilit…