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Open Access Open Badges Research Article

Accelerating Seismic Computations Using Customized Number Representations on FPGAs

Haohuan Fu1*, William Osborne1, RobertG Clapp2, Oskar Mencer1 and Wayne Luk1

Author Affiliations

1 Department of Computing, Imperial College London, London SW7 2AZ, UK

2 Department of Geophysics, Stanford University, CA 94305, USA

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EURASIP Journal on Embedded Systems 2009, 2009:382983  doi:10.1155/2009/382983

Published: 10 December 2008


The oil and gas industry has an increasingly large demand for high-performance computation over huge volume of data. Compared to common processors, field-programable gate arrays (FPGAs) can boost the computation performance with a streaming computation architecture and the support for application-specific number representation. With hardware support for reconfigurable number format and bit width, reduced precision can greatly decrease the area cost and I/O bandwidth of the design, thus multiplying the performance with concurrent processing cores on an FPGA. In this paper, we present a tool to determine the minimum number precision that still provides acceptable accuracy for seismic applications. By using the minimized number format, we implement core algorithms in seismic applications (the FK step in forward continued-based migration and 3D convolution in reverse time migration) on FPGA and show speedups ranging from 5 to 7 by including the transfer time to and from the processors. Provided sufficient bandwidth between CPU and FPGA, we show that a further increase to 48X speedup is possible.