Julia dev and computational scientist here. (have nothing to do with OP) The term "scientific computing" is evolving very rapidly and I thought a recent HN pos

Julia dev and computational scientist here. (have nothing to do with OP) The term "scientific computing" is evolving very rapidly and I thought a recent HN post https://news.ycombinator.com/item?id=7692200 https://news.ycombinator.com/item?id=7692200 did a nice job of describing the differences between two major camps that are starting to take shape. To paraphrase and stereotype: one is steeped in MPI and Fortran/C/C++; the other prefers MapReduce. Julia isn't going to trounce expert MPI implementations designed to squeeze every last flop from their computations, but we do hope that Julia will be a tool that can both interoperate nicely with existing HPC codes and yet be useful to write new code in. Plug: I'm organizing an upcoming workshop at SC'14 designed to address scalability issues in high level dynamic languages, including (but not limited to) Julia, Python and R, and hope that anyone who's interested in this emerging area of nontraditional HPC to participate. http://jiahao.github.io/hptcdl-sc14 http://jiahao.github.io/hptcdl-sc14