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vmchale
on Dec 9, 2019
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Turning .NET assemblies into FPGA hardware
> in somewhat similar use-cases. I.e. if you have an embarrassingly parallel compute-bound algorithm then it might make sense to offload it to FPGAs to gain performance and power efficiency.
Also concurrency! GPU is SIMD; FPGA need not be.
zoltanlehoczky
on Dec 10, 2019
[–]
Yes, FPGA "threads" much like CPU threads can contain complex logic, and different from each other.
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Also concurrency! GPU is SIMD; FPGA need not be.