A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs

Article Details
Title:	A Machine Learning Approach for Efficient Parallel Simulation of Beam Dynamics on GPUs
Article URLs:	https://doi.org/10.1109/ICPP.2017.55 http://doi.ieeecomputersociety.org/10.1109/ICPP.2017.55
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Authors:	Kamesh Arumugam	Old Dominion University, Department of Computer Science Old Dominion University, Center for Accelerator Science
	Desh Ranjan	Old Dominion University, Department of Physics Old Dominion University, Center for Accelerator Science
	Mohammad Zubair	Old Dominion University, Department of Computer Science Old Dominion University, Center for Accelerator Science
	Balsa Terzic	Old Dominion University, Center for Accelerator Science Old Dominion University, Department of Physics
	Alexander Godunov	Old Dominion University, Department of Physics Old Dominion University, Center for Accelerator Science
	Tunazzina Islam	Old Dominion University, Computer Science Department Old Dominion University, Center for Accelerator Science
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NSF Award Numbers:	1535641
DBLP Key:	conf/icpp/ArumugamRZTGI17
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IEEE International Conference on Parallel Processing, ICPP 2017