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Verifying GPU kernels by test amplification
2012
SIGPLAN notices
We present a novel technique for verifying properties of data parallel GPU programs via test amplification. The key insight behind our work is that we can use the technique of static information flow to amplify the result of a single test execution over the set of all inputs and interleavings that affect the property being verified. We empirically demonstrate the effectiveness of test amplification for verifying race-freedom and determinism over a large number of standard GPU kernels, by
doi:10.1145/2345156.2254110
fatcat:vgqmukzlm5dw5baq6jll3rvzpm