cuIBM -- A GPU-accelerated Immersed Boundary Method

نویسندگان

  • Simon K. Layton
  • Anush Krishnan
  • Lorena A. Barba
چکیده

A projection-based immersed boundary method is dominated by sparse linear algebra routines. Using the open-source Cusp library, we observe a speedup (with respect to a single cpu core) which reflects the constraints of a bandwidth-dominated problem on the gpu. Nevertheless, gpus offer the capacity to solve large problems on commodity hardware. This work includes validation and a convergence study of the gpu-accelerated ibm, and various optimizations.

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عنوان ژورنال:
  • CoRR

دوره abs/1109.3524  شماره 

صفحات  -

تاریخ انتشار 2011