Synthesizable limit for # of parameters (ZCU104) #729
wilfredkisku
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This is an interesting research question. In general, it's hard to answer precisely because there are different tradeoffs, especially between model size/accuracy and target latency / II. You can fit a larger, more accurate model at the cost of longer latency/II (effectively by reusing resources). We could probably come up with some good heuristics by running some scans, but I'm not aware of a comprehensive study. |
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What could be an upper bound to the number of parameters that a model can have to be synthesizable using
hls4ml
? Apart from quantizing and model reduction is there any way we can port complex models with high parameter values into the FPGA fabric? Is there a way to model architectures for FPGA using hls4ml that can achieve good accuracy on the ImageNet dataset with low-precision models and with fewer parameters?Beta Was this translation helpful? Give feedback.
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