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GPUs [...] were able to get a 14- to 15-fold performance boost [...] Their Monte Carlo model, for example, was able to realize a 260- to 280-fold speedup using
by marshray 14y ago
GPUs [...] were able to get a 14- to 15-fold performance boost [...] Their Monte Carlo model, for example, was able to realize a 260- to 280-fold speedup using FPGA acceleration.
These numbers are consistent with other computations I've seen that were well-suited for FPGAs.
- groby_b 14y ago14x seemed awfully small. Looking at e.g. http://mcx.sourceforge.net/cgi-bin/index.cgi http://mcx.sourceforge.net/cgi-bin/index.cgi, they see a ~300x speedup for a monte carlo simulation on the GPU. (Note - it might well be that the FPGA version of that particular problem would be even faster. I merely posted the GP to point out that there was significantly more effort to tailor the model towards the FPGA than towards the GPU, which seemed to be merely a "compile for GPU" without a restructuring to make the data model fit.)
- marshray 14y agoI've also heard that financial companies needed good double precision support, which was not always fully performant on GPUs.