Hi everyone, In case anyone is interested, I just set up a google group to discuss GPU-based simulation for our Python neural simulator Brian: http://groups.google.fr/group/brian-on-gpu Our simulator relies heavily Numpy. I would be very happy if the GPU experts here would like to share their expertise.
Best, Romain Romain Brette a écrit : > Sturla Molden a écrit : >> Thus, here is my plan: >> >> 1. a special context-manager class >> 2. immutable arrays inside with statement >> 3. lazy evaluation: expressions build up a parse tree >> 4. dynamic code generation >> 5. evaluation on exit >> > > There seems to be some similarity with what we want to do to accelerate > our neural simulations (briansimulator.org), as described here: > http://brian.svn.sourceforge.net/viewvc/brian/trunk/dev/BEPs/BEP-9-Automatic%20code%20generation.txt?view=markup > (by the way BEP is "Brian Enhancement Proposal") > The speed-up factor we got in our experimental code with GPU is very > substantial when there are many neurons (= large vectors, e.g. 10 000 > elements), even when operations are simple. > > Romain _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
