high performance computing on graphics processing units: hgpu.org

GPGPUs and multi-core processors have come to the forefront of interest in scientific computing. Graphics processors have become programmable, allowing exploitation of their large amounts of memory bandwidth and thread level parallelism in general purpose computing. This paper explores these two architectures, the languages used to program them, and the optimizations used to maximize performance in a memory bound chemistry application.