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# Home
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Here, you'll find some releases and profiles to use with orchestra tools!
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Welcome to the Orchestra wiki.
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## Releases
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## Tutorials
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### V 0.1.0
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This realease only contains the new runaway, using the brand new asynchronous core implementation.
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+ [Runaway](binaries/0.1.0/x86_64/runaway)
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We do provide some tutorials to help in using the orchestra tools.
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If you use a debian-derived distribution, you can also install runaway with the following script:
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+ [Runaway install script](scripts/0.1.0/runaway_install)
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+ Runaway
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+ [First steps with runaway](tutorials/first_steps.md)
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## Install
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You can find the binaries of the tools on the [releases page](https://gitlab.inria.fr/apere/orchestra/-/releases) .
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### V 0.0.2
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This release introduces the three tools. Only available on x86_64 architectures as of now.
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If you use a debian-derived distribution, you can also install runaway with the following script:
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x86\_64:
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+ [Expegit](binaries/0.0.2/x86_64/expegit)
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+ [Runaway](binaries/0.0.2/x86_64/runaway)
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+ [Orchestra](binaries/0.0.2/x86_64/orchestra)
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+ [Runaway install script](https://gitlab.inria.fr/apere/orchestra/snippets/480)
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## Profiles
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## Runaway profiles
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The following profiles allows to connect to various clusters / hosts. Make sure to go through the
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installation procedure described in the file before using it! You may experience bugs otherwise.
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The following profiles allows to connect to various clusters / hosts. Make sure to go through the installation procedure described in the file itself before using it!
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### V 0.1.0
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+ [localhost](profiles/0.1.0/localhost.yml)
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+ [flowers-gpu](profiles/0.1.0/flowers-gpu.yml)
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+ [plafrim](profiles/0.1.0/plafrim.yml)
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+ [curta](profiles/0.1.0/curta.yml)
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+ [localhost](https://gitlab.inria.fr/apere/orchestra/snippets/479)
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+ [flowers-gpu](https://gitlab.inria.fr/apere/orchestra/snippets/481)
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+ [plafrim](https://gitlab.inria.fr/apere/orchestra/snippets/482)
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+ [curta](https://gitlab.inria.fr/apere/orchestra/snippets/483)
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## Benchmark
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If you use the `runaway batch --benchmark ... > output 2> output` command, you'll gather some
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statistics about the executions. Here are some python scripts that allows to generate figures out of
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it.
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If you use the `runaway batch --benchmark ... > output 2> output` command, you'll gather some statistics about the executions. Here are some python scripts that allows to generate figures out of it.
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+ [plot_runtime](https://gitlab.inria.fr/apere/orchestra/snippets/484)
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+ [plot_comparison](https://gitlab.inria.fr/apere/orchestra/snippets/485)
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### V 0.1.0:
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+ [plot_runtime](scripts/0.1.0/plot_runtime)
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+ [plot_comparison](scripts/0.1.0/plot_comparison) |