Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/8099
AuthorsAlessi, F.* 
Massini, A.* 
Basili, R.* 
TitleAccelerating the Production of Synthetic Seismograms by a Multicore Processor Cluster with Multiple GPUs
Issue Date15-Mar-2012
Series/Report no./(2012)
DOI10.1109/PDP.2012.85
URIhttp://hdl.handle.net/2122/8099
KeywordsGPU
Synthetic Seismograms
Subject Classification04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics 
04. Solid Earth::04.06. Seismology::04.06.04. Ground motion 
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk 
AbstractIn this work we propose two different parallel versions of the software package COMPSYN, devoted to the production of syntethic seismograms. The first version consists in the parallelization of the code to run on a cluster of multicore processors and is obtained by exploiting the MPI paradigm and OpenMP API to the end of maximizing the performance on multicore processors. The second version exploits the set of GPU associated to the multicore processor cluster and uses CUDA to take advantage of the GPU's computational power. We analyze the application performance of the two different implementations by using a real case study. In particular, we obtain for the GPU version a speedup of 10x over the parallelized version running on the cluster of multicore processors. Furthermore, we can estimate about at least 100x the speedup of the GPU version using a single node of the cluster with respect to the original sequential version.
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