The Accelerator Store framework for high-performance, low-power accelerator-based systems

Citation:

Michael Lyons, Mark Hempstead, Gu Wei, and David Brooks. 2/2010. “The Accelerator Store framework for high-performance, low-power accelerator-based systems.” IEEE Computer Architecture Letters, 9, 2, Pp. 53-56. Publisher's Version

Abstract:

Hardware acceleration can increase performance and reduce energy consumption. To maximize these benefits, accelerator- based systems that emphasize computation on accelerators (rather than on general purpose cores) should be used. We introduce the “accelerator store,” a structure for sharing memory between accelerators in these accelerator-based systems. The accelerator store simplifies accelerator I/O and reduces area by mapping memory to accelerators when needed at runtime. Preliminary results demonstrate a 30% system area reduction with no energy overhead and less than 1% performance overhead in contrast to conventional DMA schemes.
Last updated on 04/28/2022