Compiler-Assisted Test Acceleration Using GPUs

Software testing is a crucial part of the software development process, but is often extremely time consuming, expensive, manual and error prone. This has resulted in a crucial need for test automation and acceleration. We propose using GPUs for the acceleration of test execution, by running individual functional tests in parallel on the GPU threads. We provide a fully automatic framework, called ParTeCL, which generates GPU code from sequential programs and executes their tests in parallel on the GPU. Current evaluation on 9 programs from the EEMBC industry standard benchmark suite show that ParTeCL achieves an average speedup of 16x when compared to a single CPU for these benchmarks.