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

Categories

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

  • 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
  • Slurm.jl
    2
    Experimental Julia interface to slurm.schedmd.com
  • ScaLAPACK.jl
    3
    Wrap ScaLAPACK in Julia
  • MessageUtils.jl
    4
    Channels(), tspaces(), kvspaces() and more
  • PTools.jl
    6
    Collection of utilities for parallel processing in Julia
  • Heptapus.jl
    7
    -
  • ParallelGLM.jl
    11
    Parallel fitting of GLMs using SharedArrays
  • HDFS.jl
    23
    HDFS interface for Julia as a wrapper over Hadoop HDFS library.
  • Blocks.jl
    29
    A framework to represent chunks of entities and parallel methods on them.
  • Hwloc.jl
    39
    A Julia API for hwloc
  • Dispatcher.jl
    40
    Build, distribute, and execute task graphs
  • Elly.jl
    42
    Hadoop HDFS and Yarn client
  • ClusterManagers.jl
    138
    -
  • DistributedArrays.jl
    158
    Distributed Arrays in Julia
  • MPI.jl
    209
    MPI wrappers for Julia
  • Dagger.jl
    284
    A framework for out-of-core and parallel execution
  • ParallelAccelerator.jl
    293
    The ParallelAccelerator package, part of the High Performance Scripting project at Intel Labs
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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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