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Beyond Traditional Microprocessors for Geoscience High-Performance Computing Applications
March/April 2011 (vol. 31 no. 2)
pp. 41-49
Olav Lindtjorn, Schlumberger Stanford, Los Altos Stanford
Robert Clapp, Stanford University, Stanford
Oliver Pell, Maxeler Technologies, London
Haohuan Fu, Stanford University Tsinghua University, Stanford Beijing
Michael Flynn, Maxeler Technologies, London
Oskar Mencer, Maxeler Technologies, London

The oil and gas industry is a major user of high-performance computing, and geoscience computational cycles are dominated by kernels that are relatively few and well defined. This project explores accelerating geoscience applications using FPGA-based hardware, optimizing the algorithm and the hardware to achieve maximum performance. This approach can deliver speedup of 20 to 70 times compared with a conventional HPC node.

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3. H. Fu, R.G. Clapp, and O. Lindtjorn, "Revisiting Convolution and FFT on Parallel Computation Platforms," Soc. Exploration Geophysicists (SEG) Expanded Abstracts, vol. 29, no. 3071, 2010, doi:10.1190/1.3513484.
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Index Terms:
high-performance computing, geosciences, field-programmable gate array
Citation:
Olav Lindtjorn, Robert Clapp, Oliver Pell, Haohuan Fu, Michael Flynn, Oskar Mencer, "Beyond Traditional Microprocessors for Geoscience High-Performance Computing Applications," IEEE Micro, vol. 31, no. 2, pp. 41-49, March-April 2011, doi:10.1109/MM.2011.17
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