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Beyond Traditional Microprocessors for Geoscience High-Performance Computing Applications

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6 Author(s)
Lindtjorn, O. ; Stanford Univ., Stanford, CA, USA ; Clapp, R. ; Pell, O. ; Haohuan Fu
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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.

Published in:

Micro, IEEE  (Volume:31 ,  Issue: 2 )

Date of Publication:

March-April 2011

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