IEEE Micro · 2011 · 74 citations · 4 references
ComputingComputer ScienceHigh-performance ComputingComputer ArchitectureReconfigurable ComputingScientific ComputingAccelerator ArchitectureAccelerator IntegrationData ParallelismFpga ArchitectureHardware AccelerationReconfigurable AcceleratorsHigh-performance Computing OptimizationHigh-performance Computing PerformanceHigh-performance Computing SystemsParallel Computing Architectures
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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