Agreed. There's a lot to be done with reverse-mode AD, though the full scale of the work is beyond that of a summer project.
FYI, Theodore and I will be working with Jarrett Revels on the project we proposed around DualNumbers and extensions. Hoping to share the results at the end of the summer! On Thursday, May 21, 2015 at 4:27:27 PM UTC-4, Zenna Tavares wrote: > > Echoing Miles, I vote for working to extend automatic differentiation > (especially reverse mode) to all of Julia. > > The work done in the current AD packages is great, but Julia has > sufficiently powerful introspection and metaprogramming capabilities that > we shouldn't, in principle, be limited to small subsets of Julia. > > I'm not sure I am the one to work on it though. > > Zenna > > On Tuesday, May 19, 2015 at 2:52:00 PM UTC-4, Jeff Waller wrote: >> >> Is this the part where I say Julia-Spark again? >> >> I think this is pretty doable in time. It will likely be more or less a >> port of PySpark >> <https://github.com/apache/spark/tree/master/python/pyspark> since Julia >> and Python are similar in capability. I think I counted about 6K lines >> (including comments). >> >> According to the pyspark presentation >> <https://www.youtube.com/watch?v=xc7Lc8RA8wE>, they relied on a 3rd >> party to containerize a Python >> program for transmission -- I think I'm remembering this right. That >> might be a problem to >> overcome. >> >
