saman biook aghazadeh

Hi, Thanks for the explanation. I was going through the code with the info you provided above and it helped me get a better understanding of how things works. I...

Also another question. I'm interested to play around with the structured sparsification of the model. Does the code remove the sparsed filters from the model? I would like to be...

So, based on the PipeCNN design, how can you increase the number of DSPs massively? The only place that uses DSPs, is the core conv. Parameters that can improve it,...

I totally understand the differences of the throughput and the latency. My confusion is, PipeCNN is the only opensource CNN on FPGA and the performance difference with other related works...

Also one more thing, the DSP utilization is really low, and to increase it we have to apply major changes into PipeCNN on how it performs the parallel computation. In...

Ok. I also had this impression that both DLA and Caffeine are using systolic arrays. DLA uses a 1-D array. So one more question would be (specifically for the Caffeine),...

So, which part of the PipeCNN should be improved to get performance numbers as close as DLA and caffeine? I still assume Caffeine is much closer to PipeCNN compared to...

+1