Fast Schedulability Analysis Using Commodity Graphics Hardware
Department of Computer Science, National University of Singapore
13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007)
@article{feng2007fast,
title={Fast schedulability analysis using commodity graphics hardware},
author={Feng, J. and Chakraborty, S. and Schmidt, B. and Liu, W. and Bordoloi, U.D.},
issn={1533-2306},
year={2007},
publisher={IEEE Computer Society}
}
In this paper we explore the possibility of using commodity graphics processing units (GPUs) to speedup standard schedulability analysis algorithms. Our long-term goal is to exploit GPUs to accelerate common electronic design automation algorithms, most of which tend to be computationally expensive. Our main contribution in this paper is a reformulation of a standard demand bound criteria-based schedulability analysis algorithm as a streaming algorithm expressed in terms of computer graphics primitives. This allows the algorithm to be efficiently implemented on a GPU, thereby resulting in very attractive speedups.
January 25, 2011 by hgpu