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Forum: FPGA, VHDL & Verilog Artificial Neural Network in FPGA


Author: Andrzej Borucki (andy72)
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Is possible make ANN, especially deep learning in FPGA to parallelize 
net? I want get data from PC, send to FPGA (for exmaple MAXimator), 
compute it and resend results to PC.

Author: Lothar Miller (lkmiller) (Moderator)
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Andrzej B. wrote:
> Is possible make ANN, especially deep learning in FPGA to parallelize net?
For sure. But you must be able to transfer your algorithms into the FPGA 
in a way that they can be computed in parallel. And theres the crux: 
usually you have so many data that you cannot do that computing in 
parallel. So you must break it up it in serial calculations.
And there every cheap graphic controller beats a softcore implemented 
inside a FPGA due to its broad and fast memory interface.

Author: 123 (Guest)
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I would use Cuda. Much cheaper than anything else with FPGAs. The 
problem is the parallel programming. Your algorithm needs to be 
parallelized. If your problem can not be parallelized you won't ahieve 
any improvements ...

Author: Andreas Rückert (Guest)
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Xilinx has some deep learning examples for their new fpga series?

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