Title :
Accelerated MR physics simulations on multi-GPU systems
Author :
Xanthis, Christos G. ; Venetis, Ioannis E. ; Aletras, Anthony H.
Author_Institution :
Dept. of Comput. Sci. & Biomed. Inf., Univ. of Thessaly, Volos, Greece
Abstract :
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.
Keywords :
digital simulation; graphics processing units; magnetic resonance imaging; multiprocessing systems; physics computing; Bloch equation; MATLAB single-program-multiple-data statement; MRISIMUL; Tesla C2070 GPU cards; Tesla C2075 GPU cards; accelerated MR physics simulations; hexa-core processors; linear speedup; multiGPU computer systems; quad-core processors; simulation platform; spmd; step-by-step comprehensive MR physics simulator; Computational modeling; Computers; Graphics processing units; Kernel; Magnetic resonance imaging; Mathematical model; Physics;
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location :
Chania
DOI :
10.1109/BIBE.2013.6701639