···
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maintainer: "unixjunkie@sdf.org"
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authors: "Francois Berenger"
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license: "LGPL-2.0-or-later"
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homepage: "https://github.com/UnixJunkie/parany"
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bug-reports: "https://github.com/UnixJunkie/parany/issues"
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dev-repo: "git+https://github.com/UnixJunkie/parany.git"
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"domainslib" {>= "0.5.0"}
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"ocaml" {>= "5.0.0"}
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["dune" "build" "-p" name "-j" jobs]
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["dune" "build" "-p" name "-j" jobs "src/test.exe"] {with-test}
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["./test.sh"] {with-test}
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synopsis: "Parallelize any computation"
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Generalized map reduce for parallel computers (not distributed computing).
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Can process in parallel an infinite stream of elements.
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Can process a very large file in parallel on a multicore computer;
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provided there is a way to cut your file into independent blocks
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(the 'demux' function).
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The processing function is called 'work'.
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The function gathering the results is called 'mux'.
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The number of processors running your computation in parallel is called
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The chunk size (number of items) processed by one call to the 'work' function
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There is a minimalist Parmap module, if you want to switch
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to/from Parmap easily.
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Read the corresponding ocamldoc before using.
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src: "https://github.com/UnixJunkie/parany/archive/v13.0.0.tar.gz"
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checksum: "md5=721637080520affb02ea2be3c3d0158e"