Abstract
This paper presents experiences and results obtained in optimizing 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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Hoefler, T., Schellmann, M., Gorlatch, S., Lumsdaine, A. (2008). Communication Optimization for Medical Image Reconstruction Algorithms. In: Lastovetsky, A., Kechadi, T., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2008. Lecture Notes in Computer Science, vol 5205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87475-1_15
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DOI: https://doi.org/10.1007/978-3-540-87475-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87474-4
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