| dc.creator | Xanthis, C. G. | en |
| dc.creator | Venetis, I. E. | en |
| dc.creator | Aletras, A. H. | en |
| dc.date.accessioned | 2015-11-23T10:54:15Z | |
| dc.date.available | 2015-11-23T10:54:15Z | |
| dc.date.issued | 2013 | |
| dc.identifier | 10.1109/BIBE.2013.6701639 | |
| dc.identifier.isbn | 9781479931637 | |
| dc.identifier.uri | http://hdl.handle.net/11615/34691 | |
| dc.description.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. © 2013 IEEE. | en |
| dc.source.uri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84894131750&partnerID=40&md5=33af54693086a8057dd7dd907b43c10b | |
| dc.title | Accelerated MR physics simulations on multi-GPU systems | en |
| dc.type | conferenceItem | en |