Title :
Beyond Traditional Microprocessors for Geoscience High-Performance Computing Applications
Author :
Lindtjorn, Olav ; Clapp, Robert G. ; Pell, Oliver ; Fu, Haohuan ; Flynn, Michael J. ; Haohuan Fu
Author_Institution :
Stanford Univ., Stanford, CA, USA
Abstract :
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.
Keywords :
field programmable gate arrays; microprocessor chips; natural gas technology; petroleum industry; production engineering computing; FPGA-based hardware; gas industry; geoscience computational cycles; geoscience high-performance computing; microprocessors; oil industry; Acceleration; Bandwidth; Computational modeling; Field programmable gate arrays; Hardware; Kernel; Sparse matrices; field-programmable gate array; geosciences; high-performance computing;
Journal_Title :
Micro, IEEE
