7432

Verifying GPU Kernels by Test Amplification

Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala
University of California, San Diego
34th ACM Conference on Programming Language Design and Implementation (PLDI 2012), 2012

@article{agarwal2012verifying,

   title={Verifying GPU Kernels by Test Amplification},

   author={Agarwal, A.L.M.G.Y. and Lerner, R.G.R.J.S.},

   year={2012}

}

Download Download (PDF)   View View   Source Source   

588

views

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 showing that the result of verifying a single dynamic execution can be amplified over the massive space of possible data inputs and thread interleavings.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: