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 …
Testing is an important and challenging part of software development and its effectiveness depends on the quality of test cases. However, there exists no means of measuring quality of tests developed for GPU programs and as a result, no test case …
Massive parallelism, and energy efficiency of GPUs, along with advances in their programmability with OpenCL and CUDA programming models have made them attractive for general-purpose computations across many application domains. Techniques for …