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Granular Dynamics Simulation on Multiple GPUs Using Domain Decomposition

[+] Author Affiliations
Hammad Mazhar, Andrew Seidl, Rebecca Shotwell, Dan Negrut

University of Wisconsin Madison, Madison, WI

Marco B. Quadrelli, Abhinandan Jain

Jet Propulsion Laboratory / California Institute of Technology, Pasadena, CA

Paper No. DETC2012-71121, pp. 801-805; 5 pages
doi:10.1115/DETC2012-71121
From:
  • ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B
  • Chicago, Illinois, USA, August 12–15, 2012
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4501-1
  • Copyright © 2012 by ASME

abstract

This paper describes the software infrastructure needed to enable massive multi-body simulation using multiple GPUs. Utilizing a domain decomposition approach, a large system made up of billions of bodies can be split into self-contained subdomains which are then transferred to different GPUs and solved in parallel. Parallelism is enabled on multiple levels, first on the CPU through OpenMP and secondly on the GPU through NVIDIA CUDA (Compute Unified Device Architecture). This heterogeneous software infrastructure can be extended to networks of computers using MPI (Message Passing Interface) as each subdomain is self-contained. This paper will discuss the implementation of the spatial subdivision algorithm used for subdomain creation along with the algorithms used for collision detection and constraint solution.

Copyright © 2012 by ASME

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