forked from rarias/jungle
82 lines
2.2 KiB
Nix
82 lines
2.2 KiB
Nix
{
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super
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, self
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, bsc
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, garlic
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, callPackage
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}:
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let
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rPlot = garlic.pp.rPlot;
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exp = garlic.exp;
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pp = garlic.pp;
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ds = garlic.ds;
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fig = garlic.fig;
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stdPlot = rScript: expList: rPlot {
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script = rScript;
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dataset = pp.mergeDatasets (map (e: ds.std.timetable e.result) expList);
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};
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customPlot = rScript: dataset: rPlot {
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script = rScript;
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dataset = dataset;
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};
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linkTree = name: tree: self.linkFarm name (
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self.lib.mapAttrsToList (
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name: value: { name=name; path=value; }
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) tree);
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in
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{
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nbody = with exp.nbody; {
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baseline = stdPlot ./nbody/baseline.R [ baseline ];
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small = stdPlot ./nbody/baseline.R [ small ];
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jemalloc = stdPlot ./nbody/jemalloc.R [ baseline jemalloc ];
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ctf = stdPlot ./nbody/baseline.R [ ctf ];
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scaling = stdPlot ./nbody/baseline.R [ scaling ];
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};
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hpcg = with exp.hpcg; {
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oss = stdPlot ./hpcg/oss.R [ oss ];
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};
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saiph = with exp.saiph; {
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granularity = stdPlot ./saiph/granularity.R [ granularity ];
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};
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heat = with exp.heat; {
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granul = stdPlot ./heat/granul.R [ granul ];
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cache = customPlot ./heat/cache.R (ds.perf.stat cache.result);
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ctf = customPlot ./heat/mode.R (ds.ctf.mode ctf.result);
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};
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creams = with exp.creams; {
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ss = stdPlot ./creams/ss.R [ ss.hybrid ss.pure ];
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};
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osu = with exp.osu; {
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latency = customPlot ./osu/latency.R (ds.osu.latency latency.result);
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latencyShm = customPlot ./osu/latency.R (ds.osu.latency latencyShm.result);
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latencyMt = customPlot ./osu/latency.R (ds.osu.latency latencyMt.result);
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latencyMtShm = customPlot ./osu/latency.R (ds.osu.latency latencyMtShm.result);
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bw = customPlot ./osu/bw.R (ds.osu.bw bw.result);
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bwShm = customPlot ./osu/bw.R (ds.osu.bw bwShm.result);
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impi = customPlot ./osu/impi.R (ds.osu.bw impi.result);
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};
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# The figures used in the article contained in a directory per figure
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article = with fig; linkTree "article-fig" {
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"osu/latency" = osu.latency;
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"osu/latencyMt" = osu.latencyMt;
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"osu/bw" = osu.bw;
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"osu/bwShm" = osu.bwShm;
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"heat/cache" = heat.cache;
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};
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examples = with exp.examples; {
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granularity = stdPlot ./examples/granularity.R [ granularity ];
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};
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}
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