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This looks great! I used Julia in my Master's thesis and it was very fast and easy to use. One thing however was annoying: The lack of shared memory parallel co

by mlu 12y ago

This looks great! I used Julia in my Master's thesis and it was very fast and easy to use. One thing however was annoying: The lack of shared memory parallel computing. Unfortunately, in Julia, each parallel process has its own memory such that you have to keep multiple instances of your data and/or move data around all the time. This can be a deal breaker if working with very large data sets and actually is preventing me from using Julia even more. But I'm sure, it's on the right track.

illumen 12y ago
Doesn't it have mmap?
- ninjin 12y ago
  It does, in the base library in fact: https://github.com/JuliaLang/julia/blob/master/base/mmap.jl https://github.com/JuliaLang/julia/blob/master/base/mmap.jl Here is the relevant documentation: http://julia.readthedocs.org/en/latest/stdlib/base/#memory-mapped-i-o http://julia.readthedocs.org/en/latest/stdlib/base/#memory-m...
simonster 12y ago
In Julia 0.3 there are SharedArrays on Linux/OS X: http://julia.readthedocs.org/en/latest/stdlib/base/#shared-arrays-experimental-unix-only-feature http://julia.readthedocs.org/en/latest/stdlib/base/#shared-a... Hopefully there will also be multithreading someday, although right now it's still a work in progress: https://github.com/JuliaLang/julia/tree/threads https://github.com/JuliaLang/julia/tree/threads
ihnorton 12y ago
Shared-memory multiprocessing is supported in the latest release on linux and mac. Multi-threading is in development and has seen some significant progress over the past few months. > But I'm sure, it's on the right track. Yes, and it is worth pointing out that both this article and the @simd feature were written by Arch Robison - who is also the architect of Intel's Threading Building Blocks.