Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms - researchr publication authors

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Adam Fidel, Sam Ade Jacobs, Shishir Sharma, Nancy M. Amato, Lawrence Rauchwerger. Using Load Balancing to Scalably Parallelize Sampling-Based Motion Planning Algorithms. In 2014 IEEE 28th International Parallel and Distributed Processing Symposium, Phoenix, AZ, USA, May 19-23, 2014. pages 573-582, IEEE, 2014. [doi]

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