Saiph: adding granularity experiment and figures
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@ -8,10 +8,15 @@
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, boost
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, gitBranch ? "master"
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, numComm ? null
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, nbx ? null
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, nby ? null
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, nbz ? null
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, vectFlags ? null
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#, breakpointHook
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}:
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with stdenv.lib;
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stdenv.mkDerivation rec {
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name = "saiph";
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@ -20,7 +25,7 @@ stdenv.mkDerivation rec {
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ref = "${gitBranch}";
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};
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programPath = "/bin/ExHeat3D";
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programPath = "/bin/Heat3D_vect";
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enableParallelBuilding = true;
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dontStrip = true;
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@ -49,15 +54,18 @@ stdenv.mkDerivation rec {
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makeFlags = [
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"-f" "Makefile.${cc.cc.CC}"
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"apps"
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"APP=ExHeat3D"
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( if (numComm != null) then "NUM_COMM=${toString numComm}" else "" )
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( if (vectFlags != null) then "VECT_FLAGS=${toString vectFlags}" else "" )
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];
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"APP=Heat3D_vect"
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] ++ optional (nbx != null) "NB_X=${toString nbx}"
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++ optional (nby != null) "NB_Y=${toString nby}"
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++ optional (nbz != null) "NB_Z=${toString nbz}"
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++ optional (numComm != null) "NUM_COMM=${toString numComm}"
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++ optional (vectFlags != null) "VECT_FLAGS=${toString vectFlags}"
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;
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installPhase = ''
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mkdir -p $out/lib
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mkdir -p $out/bin
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cp obj/libsaiphv2.so $out/lib/
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cp bin/ExHeat3D $out/bin/
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cp bin/Heat3D_vect $out/bin/
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'';
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}
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68
garlic/exp/saiph/granularity.nix
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68
garlic/exp/saiph/granularity.nix
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@ -0,0 +1,68 @@
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{
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stdenv
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, stdexp
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, bsc
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, targetMachine
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, stages
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}:
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with stdenv.lib;
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let
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# Initial variable configuration
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varConf = with bsc; {
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nb = [ 1 2 4 8 ];
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};
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# Generate the complete configuration for each unit
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genConf = with bsc; c: targetMachine.config // rec {
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expName = "saiph.granularity";
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unitName = "${expName}.nbx-nby-nbz-${toString nbx}-${toString nby}-${toString nbz}";
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# saiph options
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nbx = c.nb;
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nby = c.nb;
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nbz = c.nb;
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mpi = impi;
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gitBranch = "garlic/tampi+isend+oss+task+simd";
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# Repeat the execution of each unit 50 times
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loops = 50;
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# Resources
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qos = "debug";
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time = "00:30:00";
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ntasksPerNode = 1;
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nodes = 1;
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cpuBind = "sockets,verbose";
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jobName = "${unitName}-${gitBranch}";
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};
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# Compute the array of configurations
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configs = stdexp.buildConfigs {
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inherit varConf genConf;
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};
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exec = {nextStage, conf, ...}: with conf; stages.exec {
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inherit nextStage;
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env = ''
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export OMP_NUM_THREADS=${toString hw.cpusPerSocket}
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export NANOS6_REPORT_PREFIX="#"
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export I_MPI_THREAD_SPLIT=1
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export ASAN_SYMBOLIZER_PATH=${bsc.clangOmpss2Unwrapped}/bin/llvm-symbolizer
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'';
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};
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program = {nextStage, conf, ...}: with conf;
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let
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customPkgs = stdexp.replaceMpi conf.mpi;
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in
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customPkgs.apps.saiph.override {
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inherit nbx nby nbz mpi gitBranch;
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};
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pipeline = stdexp.stdPipeline ++ [ exec program ];
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in
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stdexp.genExperiment { inherit configs pipeline; }
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100
garlic/fig/saiph/granularity.R
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100
garlic/fig/saiph/granularity.R
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@ -0,0 +1,100 @@
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library(ggplot2)
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library(dplyr)
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library(scales)
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library(jsonlite)
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args=commandArgs(trailingOnly=TRUE)
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# Read the timetable from args[1]
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input_file = "input.json"
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if (length(args)>0) { input_file = args[1] }
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# Load the dataset in NDJSON format
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dataset = jsonlite::stream_in(file(input_file)) %>%
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jsonlite::flatten()
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# We only need the nblocks and time
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df = select(dataset, config.nbx, time) %>%
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rename(nbx=config.nbx)
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df$nbx = as.factor(df$nbx)
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# Normalize the time by the median
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D=group_by(df, nbx) %>%
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mutate(tnorm = time / median(time) - 1) %>%
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mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0)))
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D$bad = as.factor(D$bad)
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print(D)
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ppi=300
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h=5
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w=5
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png("box.png", width=w*ppi, height=h*ppi, res=ppi)
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#
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#
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#
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# Create the plot with the normalized time vs nblocks
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p = ggplot(data=D, aes(x=nbx, y=tnorm, color=bad)) +
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# Labels
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labs(x="nbx", y="Normalized time",
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title=sprintf("Saiph-Heat3D normalized time"),
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subtitle=input_file) +
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# Center the title
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#theme(plot.title = element_text(hjust = 0.5)) +
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# Black and white mode (useful for printing)
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#theme_bw() +
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# Add the maximum allowed error lines
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geom_hline(yintercept=c(-0.01, 0.01),
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linetype="dashed", color="gray") +
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# Draw boxplots
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geom_boxplot() +
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scale_color_manual(values=c("black", "brown")) +
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#scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
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theme_bw() +
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theme(plot.subtitle=element_text(size=8)) +
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theme(legend.position = "none")
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#theme(legend.position = c(0.85, 0.85))
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# Render the plot
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print(p)
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## Save the png image
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dev.off()
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#
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png("scatter.png", width=w*ppi, height=h*ppi, res=ppi)
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#
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## Create the plot with the normalized time vs nblocks
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p = ggplot(D, aes(x=nbx, y=time)) +
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labs(x="nbx", y="Time (s)",
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title=sprintf("Saiph-Heat3D granularity"),
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subtitle=input_file) +
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theme_bw() +
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theme(plot.subtitle=element_text(size=8)) +
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theme(legend.position = c(0.5, 0.88)) +
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geom_point(shape=21, size=3) +
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#scale_x_continuous(trans=log2_trans()) +
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scale_y_continuous(trans=log2_trans())
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# Render the plot
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print(p)
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# Save the png image
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dev.off()
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@ -330,6 +330,7 @@ let
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saiph = {
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numcomm = callPackage ./garlic/exp/saiph/numcomm.nix { };
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granularity = callPackage ./garlic/exp/saiph/granularity.nix { };
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};
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creams = {
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@ -371,6 +372,7 @@ let
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saiph = with exp.saiph; {
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numcomm = merge [ numcomm ];
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granularity = merge [ granularity ];
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};
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heat = with exp.heat; {
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@ -402,6 +404,13 @@ let
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};
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};
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saiph = {
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granularity = with ds.saiph; pp.rPlot {
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script = ./garlic/fig/saiph/granularity.R;
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dataset = granularity;
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};
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};
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heat = {
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test = with ds.heat; pp.rPlot {
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script = ./garlic/fig/heat/test.R;
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