Thanks you for the interesting advices. Unfortunately no 32B alignment. The start address of the weights vectors is aligned, but the problem is that as I jump f

Thanks you for the interesting advices. Unfortunately no 32B alignment. The start address of the weights vectors is aligned, but the problem is that as I jump from here to there to get the weights, the alignment is broken. I bet that if I analyze the way I loop trough the weights, I can figure out a way to make this whole thing a linear aligned access. Probably that's my starting point! Thank you. I'll make sure to try different cycles numbers and unrolling, I don't want to reach the level of writing the assembler, but to have at least a good speedup for what's possible. About RAM bandwidth, basically it depends a lot on the neural network size, for small/medium networks it's all inside L1, for very large not, and of course the bigger they are, the slower to train, the more interesting to get the speedup. Thanks.