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Automated test generation for OpenCL kernels using fuzzing and constraint solving
2020
Proceedings of the 13th Annual Workshop on General Purpose Processing using Graphics Processing Unit
Graphics Processing Units (GPUs) are massively parallel processors offering performance acceleration and energy efficiency unmatched by current processors (CPUs) in computers. These advantages along with recent advances in the programmability of GPUs have made them attractive for general-purpose computations. Despite the advances in programmability, GPU kernels are hard to code and analyse due to the high complexity of memory sharing patterns, striding patterns for memory accesses, implicit
doi:10.1145/3366428.3380768
dblp:conf/ppopp/PengR20
fatcat:sqfvjm5gmngqlgytbkh5ixngky