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Mathematics Statistics File IO Graphics AI Super Computing Parallel Computing GPU Distributed Computing Benchmarks Compilers Cloud Computing Cluster Computing Job Scheduler View more subcategories Biology Programming Paradigms View more categories
Julia Packages
All Packages Trending Developers

Categories

Mathematics Statistics File IO Graphics AI Super Computing Parallel Computing GPU Distributed Computing Benchmarks Compilers Cloud Computing Cluster Computing Job Scheduler View more subcategories Biology Programming Paradigms View more categories
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Parallel Computing Packages

  • ParallelAccelerator.jl
    291
    The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs
  • Dagger.jl
    197
    A framework for out-of-core and parallel execution
  • MPI.jl
    162
    MPI wrappers for Julia
  • DistributedArrays.jl
    133
    Distributed Arrays in Julia
  • ClusterManagers.jl
    103
    -
  • Elly.jl
    39
    Hadoop HDFS and Yarn client
  • Dispatcher.jl
    33
    Build, distribute, and execute task graphs
  • Hwloc.jl
    32
    A Julia API for hwloc
  • Blocks.jl
    29
    A framework to represent chunks of entities and parallel methods on them.
  • HDFS.jl
    22
    HDFS interface for Julia as a wrapper over Hadoop HDFS library.
  • ParallelGLM.jl
    11
    Parallel fitting of GLMs using SharedArrays
  • Heptapus.jl
    7
    -
  • PTools.jl
    6
    Collection of utilities for parallel processing in Julia
  • MessageUtils.jl
    4
    Channels(), tspaces(), kvspaces() and more
  • ScaLAPACK.jl
    3
    Wrap ScaLAPACK in Julia
  • Slurm.jl
    2
    Experimental Julia interface to slurm.schedmd.com
  • Flume.jl
    1
    A port of the Google Flume Data-Parallel Pipeline system to Julia
  • DispatcherCache.jl
    1
    Adaptive persistency-based mechanism for Dispatcher task graphs
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Julia Packages

This website serves as a package browsing tool for the Julia programming language. It works by aggregating various sources on Github to help you find your next package.

By analogy, Julia Packages operates much like PyPI, Ember Observer, and Ruby Toolbox do for their respective stacks.

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