Heuristic Optimization Methods for Improving Performance of Recursive General Purpose Applications on GPUs
INESC-ID/IST, Lisbon, Portugal
International Symposium on Parallel and Distributed Computing, 2008. ISPDC ’08
@conference{yamagiwa2008heuristic,
title={Heuristic Optimization Methods for Improving Performance of Recursive General Purpose Applications on GPUs},
author={Yamagiwa, S. and Wada, K. and Sousa, L.},
booktitle={2008 International Symposium on Parallel and Distributed Computing},
pages={325–332},
year={2008},
organization={IEEE}
}
Due to the demand of high definition graphics presentation in gaming and video market, graphics processing units (GPUs) have drastically increased their computational capacities. General-purpose computation on GPUs uses the fragment shader multicore of these processing units to concurrently process data streams. However, the I/O overheads in recursive GPGPU applications have a negative impact in the performance of those systems. This paper proposes the remap method to improve the performance of general purpose recursive applications on GPUs, by decreasing the I/O overheads imposed by the VRAM/GPU interface. It is shown that significant performance improvements are achieved by applying the remap method to realistic recursive applications.
April 6, 2011 by hgpu
