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Torsten Hoefler, M. Schellmann, S. Gorlatch and Andrew Lumsdaine:

 Communication Optimization for Medical Image Reconstruction Algorithms

(Vol LNCS 5205, In Recent Advances in Parallel Virtual Machine and Message Passing Interface, 15th European PVM/MPI Users' Group Meeting, presented in Dublin, Ireland, pages 75-83, Springer, ISSN: 0302-9743, ISBN: 078-3-540-87474-4, Sep. 2008)


Abstract. This paper presents experiences and results obtained in opti- mizing the parallel communication performance of a production-quality medical image reconstruction application. The fundamental communication operations in the application's principal algorithm are collective reductions. The overhead of these operations was reduced by transforming the algorithm to overlap its computation and communication. Several different approaches to communication progress were studied, both user-directed and asynchronous. Experimental results comparing the new approach to the previous implementation show overall application performance improvements of up to 8%, when run on 32 nodes.


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  author={Torsten Hoefler and M. Schellmann and S. Gorlatch and Andrew Lumsdaine},
  title={{Communication Optimization for Medical Image Reconstruction Algorithms}},
  volume={LNCS 5205},
  booktitle={Recent Advances in Parallel Virtual Machine and Message Passing Interface, 15th European PVM/MPI Users' Group Meeting},
  location={Dublin, Ireland},

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