A GPU accelerated storage system
The University of British Columbia, Vancouver, Canada
In HPDC ’10: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (2010), pp. 167-178.
@conference{gharaibeh2010gpu,
title={A GPU accelerated storage system},
author={Gharaibeh, A. and Al-Kiswany, S. and Gopalakrishnan, S. and Ripeanu, M.},
booktitle={Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing},
pages={167–178},
year={2010},
organization={ACM}
}
Massively multicore processors, like, for example, Graphics Processing Units (GPUs), provide, at a comparable price, a one order of magnitude higher peak performance than traditional CPUs. This drop in the cost of computation, as any order-of-magnitude drop in the cost per unit of performance for a class of system components, triggers the opportunity to redesign systems and to explore new ways to engineer them to recalibrate the cost-to-performance relation.
November 1, 2010 by hgpu
