13th IEEE International Conference on BioInformatics and BioEngineering (2013)
Chania, Greece Greece
Nov. 10, 2013 to Nov. 13, 2013
Christos G. Xanthis , Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece
Ioannis E. Venetis , Department of Computer Engineering and Informatics, University of Patras, Greece
Anthony H. Aletras , Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece
A multi-GPU approach of MRISIMUL, a recently developed step-by-step comprehensive MR physics simulator of the Bloch equation, is presented in this study. The specific aim was to apply MRISIMUL on multi-GPU systems so as to achieve even shorter execution times. We hypothesized that such a simulation platform could achieve a scalable performance with the increasing number of available GPU cards on single node, multi-GPU computer systems. A parallelization strategy was employed using the MATLAB single-program-multiple-data (spmd) statement and an almost linear speedup was observed with the increasing number of available GPU cards on two separate systems: a single computer of 2 quad-core processors and two Tesla C2070 GPU cards and a single computer of 2 hexa-core processors and four Tesla C2075 GPU cards.
Christos G. Xanthis, Ioannis E. Venetis, Anthony H. Aletras, "Accelerated MR physics simulations on multi-GPU systems", 13th IEEE International Conference on BioInformatics and BioEngineering, vol. 00, no. , pp. 1-3, 2013, doi:10.1109/BIBE.2013.6701639