Title
Poster: high performance FPGA-based implementation of the seismic modeling of the RTM algorithm
Abstract
Hardware accelerators like GPGPUs and FPGAs have been used as an alternative for the conventional computing architectures (CPUs) in scientific computing applications and have shown considerable speed-ups. In this context, this poster presents a solution that takes advantage from FPGA's flexibility to explore efficiently data reuse, parallelization in both time and space domains for the first processing stage of the RTM (Reverse Time Migration) algorithm, the seismic modeling. In order to obtain a benchmark for our FPGA implementation, we also implemented the same algorithms for a CPU and GPGPU architecture. Our results showed that the FPGAs are a feasible platform for this set of applications. The experimental results have shown a 1,67x speed-up when compared to a Tesla C1060 GPGPU and a 25,79x speed-up when compared to an AMD Athlon 64 X2 CPU.
Year
DOI
Venue
2011
10.1145/2148600.2148622
SC Companion
Keywords
Field
DocType
x2 cpu,amd athlon,fpga-based implementation,scientific computing application,considerable speed-up,gpgpu architecture,conventional computing architecture,data reuse,rtm algorithm,time migration,high performance,seismic modeling,tesla c1060 gpgpu,fpga implementation,high performance computing,rtm,gpgpu,computer architecture,fpga,reverse time migration,scientific computing,hardware accelerator
Seismic migration,Supercomputer,Computer science,Parallel computing,Field-programmable gate array,Algorithm,General-purpose computing on graphics processing units,Reconfigurable computing,Data reuse
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
11