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Will Killian
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A survey on compiler autotuning using machine learning
AH Ashouri, W Killian, J Cavazos, G Palermo, C Silvano
ACM Computing Surveys (CSUR) 51 (5), 1-42, 2018
2332018
RAJA: Portable performance for large-scale scientific applications
DA Beckingsale, J Burmark, R Hornung, H Jones, W Killian, AJ Kunen, ...
2019 ieee/acm international workshop on performance, portability and …, 2019
2112019
Accelerating financial applications on the GPU
S Grauer-Gray, W Killian, R Searles, J Cavazos
Proceedings of the 6th Workshop on General Purpose Processor Using Graphics …, 2013
602013
Parallelization of machine learning applied to call graphs of binaries for malware detection
R Searles, L Xu, W Killian, T Vanderbruggen, T Forren, J Howe, ...
2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017
192017
Performance improvement in kernels by guiding compiler auto-vectorization heuristics
W Killian, R Miceli, EJ Park, MA Vega, J Cavazos
PRACE-RI. EU, 2014
82014
The design and implementation of OpenMP 4.5 and OpenACC backends for the RAJA C++ performance portability layer
W Killian, T Scogland, A Kunen, J Cavazos
Accelerator Programming Using Directives: 4th International Workshop, WACCPD …, 2018
42018
Concepts and Meta-Programming Library
AJ Kunen, WK Killian, DA Beckingsale, TR Scogland
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018
12018
Using Graph-Based Characterization for Predictive Modeling of Vectorizable Loop Nests
W Killian
2015
Discovering Optimal Execution Policies in KRIPKE using RAJA
WK Killian
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Articles 1–9