文件列表:

Utils.hs (1013, 2016-01-27)
aggregate-results.sh (2187, 2016-01-27)
blacklist.txt (69, 2016-01-27)
chameneos-redux1-forkIO-MVar/ (0, 2016-01-27)
chameneos-redux1-forkIO-MVar/Benchmark.hs (145, 2016-01-27)
chameneos-redux1-forkIO-MVar/Makefile (282, 2016-01-27)
chameneos-redux1-forkIO-MVar/Program.hs (3412, 2016-01-27)
chameneos-redux1-forkIO-MVar/configure.sh (61, 2016-01-27)
chameneos-redux1-forkIO-MVar/run-bench.sh (63, 2016-01-27)
chameneos-redux1-forkIO-MVar/run.sh (52, 2016-01-27)
chameneos-redux1-forkIO-TMVar/ (0, 2016-01-27)
chameneos-redux1-forkIO-TMVar/Benchmark.hs (153, 2016-01-27)
chameneos-redux1-forkIO-TMVar/Makefile (282, 2016-01-27)
chameneos-redux1-forkIO-TMVar/Program.hs (3578, 2016-01-27)
chameneos-redux1-forkIO-TMVar/configure.sh (61, 2016-01-27)
chameneos-redux1-forkIO-TMVar/run-bench.sh (63, 2016-01-27)
chameneos-redux1-forkIO-TMVar/run.sh (52, 2016-01-27)
chameneos-redux1-forkOn-MVar/ (0, 2016-01-27)
chameneos-redux1-forkOn-MVar/Benchmark.hs (145, 2016-01-27)
chameneos-redux1-forkOn-MVar/Makefile (282, 2016-01-27)
chameneos-redux1-forkOn-MVar/Program.hs (3541, 2016-01-27)
chameneos-redux1-forkOn-MVar/configure.sh (61, 2016-01-27)
chameneos-redux1-forkOn-MVar/run-bench.sh (63, 2016-01-27)
chameneos-redux1-forkOn-MVar/run.sh (52, 2016-01-27)
chameneos-redux1-forkOn-TMVar/ (0, 2016-01-27)
chameneos-redux1-forkOn-TMVar/Benchmark.hs (153, 2016-01-27)
chameneos-redux1-forkOn-TMVar/Makefile (282, 2016-01-27)
chameneos-redux1-forkOn-TMVar/Program.hs (3708, 2016-01-27)
chameneos-redux1-forkOn-TMVar/configure.sh (61, 2016-01-27)
chameneos-redux1-forkOn-TMVar/run-bench.sh (63, 2016-01-27)
chameneos-redux1-forkOn-TMVar/run.sh (52, 2016-01-27)
dining-philosophers-forkIO-MVar/ (0, 2016-01-27)
dining-philosophers-forkIO-MVar/Benchmark.hs (156, 2016-01-27)
... ...

# concurrency-benchmark This repository contains a set of Haskell benchmarks. It was used in a empirical study on the energy behavior of Haskell's concurrent programming constructs. You can find more information about the benchmarks as well as the study on this [paper](http://green-haskell.github.io/papers/saner2016.pdf) and on this [blog post](http://fernandocastor.github.io/general/2015/11/19/green-haskell.html). ## Instructions This section contains instructions to setup the environment and execute the benchmarks. These instructions were tested on a machine running **Ubuntu Server 14.04.3 LTS** but should work as is for other versions of Ubuntu. Due to the fact that these benchmarks were developed to be used in a study about energy consumption, these instruction assumes that you will run it on a machine with a modern Intel processor in order to be able to access the linux `msr` module and collect energy data. It's important to notice that the instructions say to install the cabal packages globally. This is needed because the benchmarks have to be executed by root in order to have access to the energy readings. ### Install system dependencies ``` $ sudo add-apt-repository ppa:hvr/ghc $ sudo apt-get update $ sudo apt-get install ghc-7.10.2 cabal-install-1.22 $ sudo su # export PATH=$PATH:/opt/ghc/7.10.2/bin:/opt/cabal/1.22/bin # cabal update # exit $ sudo apt-get install libpcre3-dev zlib1g-dev ``` ### Install Criterion with energy metrics ``` $ git clone https://github.com/green-haskell/criterion.git $ cd criterion $ sudo su # export PATH=$PATH:/opt/ghc/7.10.2/bin:/opt/cabal/1.22/bin # cabal install -g # exit ``` ### Clone repository and install benchmark dependencies ``` $ git clone https://github.com/green-haskell/concurrency-benchmark.git $ cd concurrency-benchmark/ $ sudo su # export PATH=$PATH:/opt/ghc/7.10.2/bin/:/opt/cabal/1.22/bin/ # cabal install -g regex-pcre # cd warp-forkIO/ # cabal install -g --only-dependencies # cd ../tsearch-forkIO/ # cabal install -g --only-dependencies # exit ``` ### Run the benchmarks Once everything is setup, you can run each benchmark multiple times passing a different number of capabilities on each run by doing the following: ``` $ cd concurrency-benchmark/ $ ./generate-inputs.sh $ sudo su # export PATH=$PATH:/opt/ghc/7.10.2/bin/:/opt/cabal/1.22/bin/ # ./run-all.sh ``` You can configure the number of capabilities that are used by editing the `NCORES` array on `run-all.sh`. You can also skip some benchmarks from the execution by including its directory name on the `blacklist.txt` file. ### Visualize the results When the benchmarks finish executing, the results will be placed in a file called `DATE-bench-summary.txt` inside each benchmark directory. In order to aggregate and visualize it you can do the following: ``` $ sudo ./aggregate-results.sh $ cd results/ $ python2 -m SimpleHTTPServer Serving HTTP on 0.0.0.0 port 8000 ... ``` After doing this, you'll be able to access in a web browser and see the results plotted in several charts like the ones [here](http://green-haskell.github.io/concurrency-results/).

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