Accelerating Energy Games Solvers on Modern Architectures. Formisano, A., Gentilini, R., & Vella, F. 2017.
Accelerating Energy Games Solvers on Modern Architectures [link]Paper  doi  abstract   bibtex   
Quantitative games, where quantitative objectives are defined on weighted game arenas, provide natural tools for designing faithful models of embedded controllers. Instances of these games are the so called Energy Games. Starting from a sequential baseline implementation, we investigate the use of massively data computation capabilities supported by modern GPUs to solve the initial credit problem for Energy Games. We present different parallel implementations on multi-core CPU and GPU systems. Our solution outperforms the baseline implementation by up to 36x speedup and obtains a faster convergence time on real-world graphs.
@conference{
	11391_1420612,
	author = {Formisano, Andrea and Gentilini, Raffaella and Vella, Flavio},
	title = {Accelerating Energy Games Solvers on Modern Architectures},
	year = {2017},
	publisher = {ACM},
	booktitle = {IA3'17 Proceedings of the Seventh Workshop on Irregular Applications: Architectures and Algorithms},
	abstract = {Quantitative games, where quantitative objectives are defined on weighted game arenas, provide natural tools for designing faithful models of embedded controllers. Instances of these games are the so called Energy Games. Starting from a sequential baseline implementation, we investigate the use of massively data computation capabilities supported by modern GPUs to solve the initial credit problem for Energy Games. We present different parallel implementations on multi-core CPU and GPU systems. Our solution outperforms the baseline implementation by up to 36x speedup and obtains a faster convergence time on real-world graphs.},
	keywords = {Energy games, GPU-computing, CUDA},
	url = {https://dl.acm.org/ft_gateway.cfm?id=3149771&ftid=1918496&dwn=1&CFID=1009414815&CFTOKEN=97235202},
	doi = {10.1145/3149704.3149771},
	isbn = {9781450351362},	
}

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