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Fast System Matrix Generation on a GPU Cluster

This paper presents an algorithm for Positron Emission Tomography reconstruction running on a GPU cluster. The most computation intensive part of the reconstruction process, the forward projection, is re-interpreted as a geometric problem, that can efficiently be solved by the graphics hardware. We also investigate the possibilities to further increase the speed and to sidestep the texture memory limitations by using not a single GPU, but a cluster of GPUs. To do so, the iteration scheme is modified to minimize the communication need between the GPU nodes.