hpcg: add weakscaling over some nblocks to check which axis is better
This commit is contained in:
parent
1a6075a2b1
commit
b60a46b683
104
garlic/exp/hpcg/oss.slices.weakscaling.nix
Normal file
104
garlic/exp/hpcg/oss.slices.weakscaling.nix
Normal file
@ -0,0 +1,104 @@
|
|||||||
|
{
|
||||||
|
stdenv
|
||||||
|
, stdexp
|
||||||
|
, bsc
|
||||||
|
, targetMachine
|
||||||
|
, stages
|
||||||
|
, genInput
|
||||||
|
}:
|
||||||
|
|
||||||
|
with stdenv.lib;
|
||||||
|
|
||||||
|
let
|
||||||
|
# Initial variable configuration
|
||||||
|
varConf = {
|
||||||
|
n = [ { x = 192; y = 192; z = 192; } ];
|
||||||
|
nprocs = [
|
||||||
|
{ x = 2; y = 1; z = 1; }
|
||||||
|
{ x = 4; y = 1; z = 1; }
|
||||||
|
{ x = 8; y = 1; z = 1; }
|
||||||
|
{ x = 16; y = 1; z = 1; }
|
||||||
|
{ x = 32; y = 1; z = 1; }
|
||||||
|
|
||||||
|
{ x = 1; y = 2; z = 1; }
|
||||||
|
{ x = 1; y = 4; z = 1; }
|
||||||
|
{ x = 1; y = 8; z = 1; }
|
||||||
|
{ x = 1; y = 16; z = 1; }
|
||||||
|
{ x = 1; y = 32; z = 1; }
|
||||||
|
|
||||||
|
{ x = 1; y = 1; z = 2; }
|
||||||
|
{ x = 1; y = 1; z = 4; }
|
||||||
|
{ x = 1; y = 1; z = 8; }
|
||||||
|
{ x = 1; y = 1; z = 16; }
|
||||||
|
{ x = 1; y = 1; z = 32; }
|
||||||
|
|
||||||
|
];
|
||||||
|
# nblocks = [ 12 24 48 96 192 384 768 1536 ];
|
||||||
|
nblocks = [ 384 768 1536 ];
|
||||||
|
ncommblocks = [ 1 ];
|
||||||
|
# nodes = [ 1 ];
|
||||||
|
# nodes = [ 1 2 4 8 16 ];
|
||||||
|
};
|
||||||
|
|
||||||
|
# Generate the complete configuration for each unit
|
||||||
|
genConf = c: targetMachine.config // rec {
|
||||||
|
expName = "hpcg.oss";
|
||||||
|
unitName = "${expName}.nb${toString nblocks}";
|
||||||
|
|
||||||
|
inherit (targetMachine.config) hw;
|
||||||
|
|
||||||
|
# hpcg options
|
||||||
|
inherit (c) n nprocs nblocks ncommblocks;
|
||||||
|
|
||||||
|
gitBranch = "garlic/tampi+isend+oss+task";
|
||||||
|
|
||||||
|
# Repeat the execution of each unit 30 times
|
||||||
|
loops = 10;
|
||||||
|
|
||||||
|
disableAspectRatio = true;
|
||||||
|
|
||||||
|
# Resources
|
||||||
|
qos = "debug";
|
||||||
|
ntasksPerNode = hw.socketsPerNode;
|
||||||
|
time = "02:00:00";
|
||||||
|
# task in one socket
|
||||||
|
cpusPerTask = hw.cpusPerSocket;
|
||||||
|
nodes = (nprocs.x * nprocs.y * nprocs.z) / ntasksPerNode;
|
||||||
|
jobName = "hpcg-${toString n.x}-${toString n.y}-${toString n.z}-${gitBranch}";
|
||||||
|
};
|
||||||
|
|
||||||
|
# Compute the array of configurations
|
||||||
|
configs = stdexp.buildConfigs {
|
||||||
|
inherit varConf genConf;
|
||||||
|
};
|
||||||
|
|
||||||
|
input = genInput configs;
|
||||||
|
|
||||||
|
exec = {nextStage, conf, ...}: stages.exec {
|
||||||
|
inherit nextStage;
|
||||||
|
argv = [
|
||||||
|
"--nx=${toString conf.n.x}"
|
||||||
|
"--ny=${toString conf.n.y}"
|
||||||
|
"--nz=${toString conf.n.z}"
|
||||||
|
# Distribute all processes in X axis
|
||||||
|
"--npx=${toString conf.nprocs.x}"
|
||||||
|
"--npy=${toString conf.nprocs.y}"
|
||||||
|
"--npz=${toString conf.nprocs.z}"
|
||||||
|
"--nblocks=${toString conf.nblocks}"
|
||||||
|
"--ncomms=${toString conf.ncommblocks}"
|
||||||
|
# The input symlink is generated by the input stage, which is generated by
|
||||||
|
# the genInput function.
|
||||||
|
"--load=input"
|
||||||
|
# Disable HPCG Aspect Ratio to run any mpi layout
|
||||||
|
] ++ optional (conf.disableAspectRatio) "--no-ar=1";
|
||||||
|
};
|
||||||
|
|
||||||
|
program = {nextStage, conf, ...}: bsc.apps.hpcg.override {
|
||||||
|
inherit (conf) gitBranch;
|
||||||
|
};
|
||||||
|
|
||||||
|
pipeline = stdexp.stdPipeline ++ [ input exec program ];
|
||||||
|
|
||||||
|
in
|
||||||
|
|
||||||
|
stdexp.genExperiment { inherit configs pipeline; }
|
@ -19,9 +19,22 @@ let
|
|||||||
{ x = 8; y = 1; z = 1; }
|
{ x = 8; y = 1; z = 1; }
|
||||||
{ x = 16; y = 1; z = 1; }
|
{ x = 16; y = 1; z = 1; }
|
||||||
{ x = 32; y = 1; z = 1; }
|
{ x = 32; y = 1; z = 1; }
|
||||||
|
|
||||||
|
{ x = 1; y = 2; z = 1; }
|
||||||
|
{ x = 1; y = 4; z = 1; }
|
||||||
|
{ x = 1; y = 8; z = 1; }
|
||||||
|
{ x = 1; y = 16; z = 1; }
|
||||||
|
{ x = 1; y = 32; z = 1; }
|
||||||
|
|
||||||
|
{ x = 1; y = 1; z = 2; }
|
||||||
|
{ x = 1; y = 1; z = 4; }
|
||||||
|
{ x = 1; y = 1; z = 8; }
|
||||||
|
{ x = 1; y = 1; z = 16; }
|
||||||
|
{ x = 1; y = 1; z = 32; }
|
||||||
|
|
||||||
];
|
];
|
||||||
# nblocks = [ 12 24 48 96 192 384 768 1536 ];
|
# nblocks = [ 12 24 48 96 192 384 768 1536 ];
|
||||||
nblocks = [ 384 ];
|
nblocks = [ 384 768 1536 ];
|
||||||
ncommblocks = [ 1 ];
|
ncommblocks = [ 1 ];
|
||||||
# nodes = [ 1 ];
|
# nodes = [ 1 ];
|
||||||
# nodes = [ 1 2 4 8 16 ];
|
# nodes = [ 1 2 4 8 16 ];
|
||||||
@ -40,7 +53,7 @@ let
|
|||||||
gitBranch = "garlic/tampi+isend+oss+task";
|
gitBranch = "garlic/tampi+isend+oss+task";
|
||||||
|
|
||||||
# Repeat the execution of each unit 30 times
|
# Repeat the execution of each unit 30 times
|
||||||
loops = 3;
|
loops = 10;
|
||||||
|
|
||||||
disableAspectRatio = true;
|
disableAspectRatio = true;
|
||||||
|
|
||||||
|
@ -65,13 +65,13 @@
|
|||||||
inherit genInput;
|
inherit genInput;
|
||||||
};
|
};
|
||||||
|
|
||||||
ossScalability = callPackage ./hpcg/oss.scalability.192.nix {
|
# ossScalability = callPackage ./hpcg/oss.scalability.192.nix {
|
||||||
inherit genInput;
|
|
||||||
};
|
|
||||||
|
|
||||||
# slices = callPackage ./hpcg/slices.nix {
|
|
||||||
# inherit genInput;
|
# inherit genInput;
|
||||||
# };
|
# };
|
||||||
|
|
||||||
|
ossSlicesWeakscaling = callPackage ./hpcg/oss.slices.weakscaling.nix {
|
||||||
|
inherit genInput;
|
||||||
|
};
|
||||||
};
|
};
|
||||||
|
|
||||||
heat = rec {
|
heat = rec {
|
||||||
|
110
garlic/fig/hpcg/oss.slices.weakscaling.R
Normal file
110
garlic/fig/hpcg/oss.slices.weakscaling.R
Normal file
@ -0,0 +1,110 @@
|
|||||||
|
# This R program takes as argument the dataset that contains the results of the
|
||||||
|
# execution of the heat example experiment and produces some plots. All the
|
||||||
|
# knowledge to understand how this script works is covered by this nice R book:
|
||||||
|
#
|
||||||
|
# Winston Chang, R Graphics Cookbook: Practical Recipes for Visualizing Data,
|
||||||
|
# O’Reilly Media (2020). 2nd edition
|
||||||
|
#
|
||||||
|
# Which can be freely read it online here: https://r-graphics.org/
|
||||||
|
#
|
||||||
|
# Please, search in this book before copying some random (and probably oudated)
|
||||||
|
# reply on stack overflow.
|
||||||
|
|
||||||
|
# We load some R packages to import the required functions. We mainly use the
|
||||||
|
# tidyverse packages, which are very good for ploting data,
|
||||||
|
library(ggplot2)
|
||||||
|
library(dplyr, warn.conflicts = FALSE)
|
||||||
|
library(scales)
|
||||||
|
library(jsonlite)
|
||||||
|
library(viridis, warn.conflicts = FALSE)
|
||||||
|
|
||||||
|
# Here we simply load the arguments to find the input dataset. If nothing is
|
||||||
|
# specified we use the file named `input` in the current directory.
|
||||||
|
# We can run this script directly using:
|
||||||
|
# Rscript <path-to-this-script> <input-dataset>
|
||||||
|
|
||||||
|
# Load the arguments (argv)
|
||||||
|
args = commandArgs(trailingOnly=TRUE)
|
||||||
|
|
||||||
|
# Set the input dataset if given in argv[1], or use "input" as default
|
||||||
|
if (length(args)>0) { input_file = args[1] } else { input_file = "input" }
|
||||||
|
|
||||||
|
df = jsonlite::stream_in(file(input_file), verbose=FALSE) %>%
|
||||||
|
|
||||||
|
# Then we flatten it, as it may contain dictionaries inside the columns
|
||||||
|
jsonlite::flatten() %>%
|
||||||
|
|
||||||
|
# Now the dataframe contains all the configuration of the units inside the
|
||||||
|
# columns named `config.*`, for example `config.cbs`. We first select only
|
||||||
|
# the columns that we need:
|
||||||
|
select(config.nblocks,
|
||||||
|
config.ncommblocks,
|
||||||
|
config.hw.cpusPerSocket,
|
||||||
|
config.nodes,
|
||||||
|
config.nprocs.x,
|
||||||
|
config.nprocs.y,
|
||||||
|
config.nprocs.z,
|
||||||
|
unit,
|
||||||
|
time
|
||||||
|
) %>%
|
||||||
|
|
||||||
|
# And then we rename those columns to something shorter:
|
||||||
|
rename(nblocks=config.nblocks,
|
||||||
|
ncommblocks=config.ncommblocks,
|
||||||
|
cpusPerSocket=config.hw.cpusPerSocket,
|
||||||
|
nodes=config.nodes,
|
||||||
|
npx=config.nprocs.x,
|
||||||
|
npy=config.nprocs.y,
|
||||||
|
npz=config.nprocs.z
|
||||||
|
) %>%
|
||||||
|
|
||||||
|
mutate(axisColor=as.factor(ifelse(npx != 1, "X", ifelse(npy != 1, "Y", "Z")))) %>%
|
||||||
|
|
||||||
|
mutate(blocksPerCpu = nblocks / cpusPerSocket) %>%
|
||||||
|
|
||||||
|
mutate(nblocks = as.factor(nblocks)) %>%
|
||||||
|
mutate(blocksPerCpu = as.factor(blocksPerCpu)) %>%
|
||||||
|
mutate(nodes = as.factor(nodes)) %>%
|
||||||
|
mutate(unit = as.factor(unit)) %>%
|
||||||
|
|
||||||
|
group_by(unit) %>%
|
||||||
|
|
||||||
|
# And compute some metrics which are applied to each group. For example we
|
||||||
|
# compute the median time within the runs of a unit:
|
||||||
|
mutate(median.time = median(time)) %>%
|
||||||
|
mutate(normalized.time = time / median.time - 1) %>%
|
||||||
|
mutate(log.median.time = log(median.time)) %>%
|
||||||
|
|
||||||
|
# Then, we remove the grouping. This step is very important, otherwise the
|
||||||
|
# plotting functions get confused:
|
||||||
|
ungroup()
|
||||||
|
|
||||||
|
dpi=300
|
||||||
|
h=5
|
||||||
|
w=5
|
||||||
|
w=3*w
|
||||||
|
|
||||||
|
# We plot the time of each run as we vary the block size
|
||||||
|
p = ggplot(df, aes(x=blocksPerCpu, y=time, color=axisColor)) +
|
||||||
|
|
||||||
|
# We add a points (scatter plot) using circles (shape=21) a bit larger
|
||||||
|
# than the default (size=3)
|
||||||
|
geom_point(shape=21, size=3) +
|
||||||
|
|
||||||
|
facet_wrap(~ nodes, labeller="label_both") +
|
||||||
|
|
||||||
|
# The bw theme is recommended for publications
|
||||||
|
theme_bw() +
|
||||||
|
|
||||||
|
# Here we add the title and the labels of the axes
|
||||||
|
labs(x="Blocks Per CPU", y="Time (s)", title="HPCG weak scalability: time",
|
||||||
|
color="Axis",
|
||||||
|
subtitle=input_file) +
|
||||||
|
|
||||||
|
# And set the subtitle font size a bit smaller, so it fits nicely
|
||||||
|
theme(plot.subtitle=element_text(size=8))
|
||||||
|
|
||||||
|
# Then, we save the plot both in png and pdf
|
||||||
|
ggsave("time.png", plot=p, width=w, height=h, dpi=dpi)
|
||||||
|
ggsave("time.pdf", plot=p, width=w, height=h, dpi=dpi)
|
||||||
|
|
@ -38,9 +38,13 @@ in
|
|||||||
};
|
};
|
||||||
|
|
||||||
hpcg = with exp.hpcg; {
|
hpcg = with exp.hpcg; {
|
||||||
|
# /nix/store/8dr191vch1nw7vfz8nj36d5nhwnbdnf3-plot
|
||||||
ossGranularity = stdPlot ./hpcg/oss.granularity.R [ ossGranularity ];
|
ossGranularity = stdPlot ./hpcg/oss.granularity.R [ ossGranularity ];
|
||||||
ossScalability = stdPlot ./hpcg/oss.scalability.R [ ossScalability ];
|
|
||||||
# slices = stdPlot ./hpcg/oss.R [ slices ];
|
# ossScalability = stdPlot ./hpcg/oss.scalability.R [ ossScalability ];
|
||||||
|
|
||||||
|
# /nix/store/a3x76fbnfbacn2xhz3q65fklfp0qbb6p-plot
|
||||||
|
ossWeakscalingPerAxisPerBlock = stdPlot ./hpcg/oss.slices.weakscaling.R [ ossSlicesWeakscaling ];
|
||||||
};
|
};
|
||||||
|
|
||||||
saiph = with exp.saiph; {
|
saiph = with exp.saiph; {
|
||||||
|
Loading…
Reference in New Issue
Block a user