出版社：SISSA, Scuola Internazionale Superiore di Studi Avanzati
摘要：Modern graphics hardware is designed for highly parallel numerical tasks and provides significant
cost and performance benefits. Graphics hardware vendors are now making available development
tools to support general purpose high performance computing. Nvidia’s CUDA platform,
in particular, offers direct access to graphics hardware through a programming language similar
to C. Using the CUDA platform we have implemented a Wilson-Dirac operator which runs at an
effective 68 Gflops on the Tesla C870. The recently released GeForce GTX 280 runs this same
code at 92 Gflops, and we expect further improvement pending code optimization.
