Seismic Modeling and RTM Migration on unconventional Hardware

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.

Severino José de Barros-Junior

Papers

Poster: high performance FPGA-based implementation of the seismic modeling of the RTM algorithm