Hi,
1. I agree that the concept of rank + cell + frames + implicit parallel8ism is very cool. 2. 5 dimension is commonly defined as N, C, D, H, W: N = number of images C = channels D = depth H = height W = width In practice, how often do we use algorithms with > 5 dim tensors? 3. In particular, in the case of GPU, if we consider a float array with 10,000 image samples, 10 features, each being 100x100, we're already at: 10^(4+1+2+2) = 10^9 floats. At 4 bytes/float, we're at 4GB already, on video consumer cards that are generally <= 12GB. Going back to the original question -- for numerical computing in J, how often do we use algorithms with > 5 dimension tensors? Thanks, --TongKe ---------------------------------------------------------------------- For information about J forums see http://www.jsoftware.com/forums.htm
