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SCHEDULE: NOV 12-18, 2011

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From Days to Seconds: Scalable Parallel Algorithm for Motion Planning

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM


AUTHOR(S):Sam Ade Jacobs

ROOM:WSCC North Galleria 2nd/3rd Floors

This poster describes a method for parallelizing sampling based motion planning algorithms. Our method uses subdivision of the configuration space to achieve scalability. We subdivide the space such that graphs or trees are constructed in each subdivision using any sequential sampling-based motion planning algorithm. Graphs or trees in each subdivision are later connected to form a roadmap. By subdividing the space, we greatly reduce the overhead of inter-processor communication, a critical drawback to scalability in existing parallel motion planning work. An important consequence of our approach is that it guarantees scalability. It is also general enough to handle variety of planning schemes. We compare our approach to two other existing parallel algorithms and demonstrate that our approach achieves better and scalable performance. Our preliminary results show almost linear scalability to hundreds of processors on two massively parallel machines one of which is a petascale machine at Lawrence Livermore National Lab.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Sam Ade Jacobs - Texas A&M University

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