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Issue No.02 - March/April (2011 vol.31)
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
<p>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.</p>
high-performance computing, geosciences, field-programmable gate array
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
1. R. Clapp, H. Fu, and O. Lindtjorn, "Selecting the Right Hardware for Reverse Time Migration," The Leading Edge, vol. 29, no. 1, 2010, pp. 48-58.
2. O. Brazell et al., "Multicore Evaluation and Performance Analysis of the ECLIPSE and INTERSECT Reservoir Simulation Codes," Oil and Gas High Performance Computing Workshop, 2010, .
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.
4. K. Yoon et al., "3D Reverse-Time Migration Using the Acoustic Wave Equation: An Experience with the SEG/EAGE Data Set," The Leading Edge, vol. 22, no. 1, 2003, pp. 38-41.
5. M.A. Dablain, "Modeling and Imaging with the Generalized Screen Algorithm," Geophysics, vol. 51, no. 1, 1986, pp. 54-66.
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