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- W2616407079 abstract "Power has emerged as a significant constraint to high performance systems. We propose modeling power-based performance (performance/watt) and clock-based performance for GPGPUs and FPGAs. Based on the modeling, we perform a case-study with mixed precision linear solvers for a Xilinx XC5VLX330T FPGA and NVIDIA Tesla C1060 GPU. In the case-study, the FPGA shows powerand clock-based performance better than the GPGPU while the GPGPU shows better time-based performance. KeywordsMixed precision; Power Performance; Comparison;" @default.
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- W2616407079 date "2011-01-01" @default.
- W2616407079 modified "2023-10-17" @default.
- W2616407079 title "Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs" @default.
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