> It won't implicitly solve distributed computing Why not? It's out to explicitly address distributed computing - http://docs.julialang.org/en/latest/manual/pa

> It won't implicitly solve distributed computing Why not? It's out to explicitly address distributed computing - http://docs.julialang.org/en/latest/manual/parallel-computing/ http://docs.julialang.org/en/latest/manual/parallel-computin... Julia is performance-competitive with C++ and Fortran, and productivity-competitive with Python. It's out to do both. Julia code compiles to LLVM and is incredibly "close to the metal" including SIMD, ref http://docs.julialang.org/en/latest/manual/performance-tips/?highlight=simd#performance-annotations http://docs.julialang.org/en/latest/manual/performance-tips/... and https://software.intel.com/en-us/articles/vectorization-in-julia https://software.intel.com/en-us/articles/vectorization-in-j..., and GPUs http://blog.maleadt.net/2015/01/15/julia-cuda/ http://blog.maleadt.net/2015/01/15/julia-cuda/ Try using Julia a bit before you talk about what it "won't solve."