We are investigating methods to identify performance issues caused by changing GPU hardware. Performance is strongly influenced by the runtime environment (hardware and runtime library), the program, and the program's input. Disentangling the contributions from these three factors is crucial to identify performance differences caused by hardware alone.
Our contributions have been:
Our current focus at Rochester is on generalizing these techniques to all GPU programs.
No publicly available artifacts available. Our data is available on request. We are planning to make our infrastructure (the OpenCL Zoo) available for general use. Drop me (Sreepathi) a mail if you'd like to have access.
Tyler Sorensen, Sreepathi Pai, and Alastair Donaldson, One Size Doesn't Fit All: Quantifying Performance Portability of Graph Applications on GPUs, IISWC 2019, Orlando, FL, USA (Best Paper)
Tyler Sorensen, Sreepathi Pai, Alastair Donaldson, Performance Evaluation of OpenCL Standard Support (and Beyond!), IWOCL 2019, Boston, MA, USA, May 2019 (Best Paper)