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Abstract #2266

Fast Temporally Constrained Reconstruction on a GPU Cluster

Jordan P. Hulet1, 2, Ganesh Adluru, Julio C. Facelli1, Edward DiBella, Dennis L. Parker, 3

1Biomedical Informatics, University of Utah, Salt Lake City, UT, United States; 2Utah Center for Advanced Imaging Research, Salt Lake City, UT, United States; 3Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States


In this work, the reconstruction time required for temporally constrained reconstruction of a large cardiac perfusion data set was reduced by utilizing 12 graphics processing units distributed across 6 different compute nodes. A speedup of over 30x was achieved compared to a 16 core CPU system resulting in a reconstruction time of only 48 seconds.