Toward exascale computational science with heterogeneous processing

Computational requirements for scientific simulation continue to grow in scale and complexity. Meanwhile, HPC systems and centers are facing urgent constraints of power and thermal limits, while continuing to advance computational science. Our experiences show that heterogeneous systems can offer one possible solution for addressing these constraints for specific applications; however, they can also introduce the new challenges to programmer productivity. In this talk, I will review these benefits and challenges as they relate to DOE and NSF applications on graphics processors, and introduce an NSF-funded project to deploy an innovative supercomputer based on graphics processors.