creams: add size experiment
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130
garlic/exp/creams/size.nix
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130
garlic/exp/creams/size.nix
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@ -0,0 +1,130 @@
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{
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stdenv
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, stdexp
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, bsc
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, targetMachine
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, stages
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, garlicTools
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, enableExtended ? false
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}:
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with stdenv.lib;
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with garlicTools;
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let
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# Initial variable configuration
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varConf = {
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#nodes = range2 1 16;
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nodes = [ 16 ];
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sizeFactor = range2 1 32;
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granul = [ 16 ] ++ optionals (enableExtended) [ 8 32 ];
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# Max. number of iterations
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iterations = [ 20 ] ++ optionals (enableExtended) [ 10 ];
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gitBranch = [
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"garlic/tampi+isend+oss+task"
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"garlic/mpi+send+omp+fork"
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#"garlic/mpi+send+omp+task"
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#"garlic/mpi+send+seq"
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] ++ optionals (enableExtended) [
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"garlic/mpi+send+oss+task"
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"garlic/mpi+isend+omp+task"
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"garlic/mpi+isend+oss+task"
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];
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};
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# We use these auxiliary functions to assign different configurations
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# depending on the git branch.
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getGranul = branch: oldGranul:
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if (branch == "garlic/mpi+send+seq")
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then 999999 else oldGranul;
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getCpusPerTask = branch: hw:
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if (branch == "garlic/mpi+send+seq")
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then 1 else hw.cpusPerSocket;
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getNtasksPerNode = branch: hw:
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if (branch == "garlic/mpi+send+seq")
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then hw.cpusPerNode else hw.socketsPerNode;
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# Generate the complete configuration for each unit
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genConf = c: targetMachine.config // rec {
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expName = "creams-size";
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unitName = "${expName}"
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+ "-granul.${toString granul}"
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+ "-sf.${toString sizeFactor}";
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inherit (targetMachine.config) hw;
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# Options for creams
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inherit (c) iterations gitBranch nodes sizeFactor;
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granul = getGranul gitBranch c.granul;
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nprocz = ntasksPerNode * nodes;
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baseSizePerCpu = 4;
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baseSize = baseSizePerCpu * cpusPerTask * ntasksPerNode * nodes;
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nz = baseSize * sizeFactor;
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# Repeat the execution of each unit 10 times
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loops = 10;
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# Resources
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qos = "debug";
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time = "02:00:00";
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ntasksPerNode = getNtasksPerNode gitBranch hw;
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cpusPerTask = getCpusPerTask gitBranch hw;
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jobName = unitName;
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};
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# Compute the array of configurations
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configs = unique (stdexp.buildConfigs {
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inherit varConf genConf;
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});
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# Custom srun stage to copy the creams input dataset
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customSrun = {nextStage, conf, ...}:
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let
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input = bsc.garlic.apps.creamsInput.override {
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inherit (conf) gitBranch granul nprocz nz;
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};
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in
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stdexp.stdStages.srun {
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inherit nextStage conf;
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# Now we add some commands to execute before calling srun. These will
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# only run in one rank (the first in the list of allocated nodes)
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preSrun = ''
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cp -r ${input}/SodTubeBenchmark/* .
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chmod +w -R .
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sed -i '/maximum number of iterations/s/50/${toString conf.iterations}/' input.dat
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rm -f nanos6.toml
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'';
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};
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exec = {nextStage, conf, ...}: stages.exec {
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inherit nextStage;
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env = ''
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export NANOS6_CONFIG_OVERRIDE="version.dependencies=regions"
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'';
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# Remove restarts as is not needed and is huge
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post = ''
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rm -rf restarts || true
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'';
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};
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# Creams program
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creams = {nextStage, conf, ...}: bsc.apps.creams.override {
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inherit (conf) gitBranch;
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};
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pipeline = stdexp.stdPipelineOverride {
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# Replace the stdandard srun stage with our own
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overrides = { srun = customSrun; };
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} ++ [ exec creams ];
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in
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stdexp.genExperiment { inherit configs pipeline; }
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@ -21,6 +21,7 @@
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creams = rec {
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ss = callPackage ./creams/ss.nix { };
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granularity = callPackage ./creams/granularity.nix { };
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size = callPackage ./creams/size.nix { };
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# These experiments are the extended versions of the previous
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# ones. We split them so we can keep a reasonable execution time
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96
garlic/fig/creams/size.R
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96
garlic/fig/creams/size.R
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library(ggplot2)
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library(dplyr, warn.conflicts = FALSE)
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library(scales)
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library(jsonlite)
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library(viridis, warn.conflicts = FALSE)
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library(stringr)
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args = commandArgs(trailingOnly=TRUE)
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# Set the input dataset if given in argv[1], or use "input" as default
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if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
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if (length(args)>1) { output = args[2] } else { output = "?" }
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df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
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jsonlite::flatten() %>%
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select(unit,
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config.nodes,
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config.gitBranch,
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config.granul,
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config.iterations,
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config.sizeFactor,
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config.nz,
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time,
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total_time) %>%
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rename(nodes=config.nodes,
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gitBranch=config.gitBranch,
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granul=config.granul,
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sizeFactor=config.sizeFactor,
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nz=config.nz,
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iterations=config.iterations) %>%
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# Remove the "garlic/" prefix from the gitBranch
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mutate(branch = str_replace(gitBranch, "garlic/", "")) %>%
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# Computations before converting to factor
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mutate(time.nodes = time * nodes) %>%
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mutate(time.elem = time / sizeFactor) %>%
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mutate(time.nodes.iter = time.nodes / iterations) %>%
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# Convert to factors
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mutate(unit = as.factor(unit)) %>%
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mutate(nodes = as.factor(nodes)) %>%
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mutate(gitBranch = as.factor(gitBranch)) %>%
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mutate(granul = as.factor(granul)) %>%
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mutate(iterations = as.factor(iterations)) %>%
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mutate(sizeFactor = as.factor(sizeFactor)) %>%
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mutate(nz = as.factor(nz)) %>%
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mutate(unit = as.factor(unit)) %>%
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# Compute median times
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group_by(unit) %>%
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mutate(median.time = median(time)) %>%
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mutate(median.time.nodes = median(time.nodes)) %>%
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mutate(normalized.time = time / median.time - 1) %>%
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mutate(log.median.time = log(median.time)) %>%
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mutate(median.time.nodes.iter = median(time.nodes.iter)) %>%
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ungroup()
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dpi = 300
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h = 3
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w = 6
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# ---------------------------------------------------------------------
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#p = ggplot(df, aes(x=sizeFactor, y=normalized.time, fill=granul, color=iterations)) +
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# geom_boxplot() +
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# geom_hline(yintercept=c(-0.01, 0.01), linetype="dashed", color="red") +
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# theme_bw() +
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# facet_wrap(branch ~ .) +
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# labs(x="nodes", y="Normalized time",
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# title="Creams strong scaling: normalized time",
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# subtitle=output) +
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# theme(plot.subtitle=element_text(size=8))
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#
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#ggsave("normalized.time.png", plot=p, width=w, height=h, dpi=dpi)
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#ggsave("normalized.time.pdf", plot=p, width=w, height=h, dpi=dpi)
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# ---------------------------------------------------------------------
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p = ggplot(df, aes(x=sizeFactor, y=time.elem, color=branch)) +
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geom_point(shape=21, size=3) +
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# geom_line(aes(y=median.time, group=gitBranch)) +
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theme_bw() +
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# facet_wrap(branch ~ .) +
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labs(x="Size factor k (nz=k*3072)", y="Time / k (s)",
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#title="Creams size: time per object",
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subtitle=output) +
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theme(plot.subtitle=element_text(size=8, family="mono"),
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legend.position="bottom")
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ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
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ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
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creams = with exp.creams; {
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ss = stdPlot ./creams/ss.R [ ss ];
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granularity = stdPlot ./creams/granularity.R [ granularity ];
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size = stdPlot ./creams/size.R [ size ];
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# Extended version (we could use another R script for those plots
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big.ss = stdPlot ./creams/ss.R [ big.ss ];
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