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gem5/tests/weekly.sh
Matt Sinclair 7756c5e908 tests: add LULESH to weekly regression
LULESH is a popular GPU HPC application that acts as a good test
for several memory and compute patterns.  Thus, including it in
the weekly regressions will help verify correctness and
functionality for code that affects the GPU.  The default LULESH
input runs 10 iterations and takes 3-4 hours.  Hence, it is not
appropriate for nightly regressions.

Change-Id: Ic1b73ab32fdd5cb1b973f2676b272adb91b2a98e
Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/50952
Maintainer: Matt Sinclair <mattdsinclair@gmail.com>
Tested-by: kokoro <noreply+kokoro@google.com>
Reviewed-by: Bobby R. Bruce <bbruce@ucdavis.edu>
2021-09-29 17:54:50 +00:00

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#!/bin/bash
# Copyright (c) 2021 The Regents of the University of California
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set -e
set -x
dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
gem5_root="${dir}/.."
# We assume the lone argument is the number of threads. If no argument is
# given we default to one.
threads=1
if [[ $# -gt 0 ]]; then
threads=$1
fi
# Run the gem5 very-long tests.
docker run -u $UID:$GID --volume "${gem5_root}":"${gem5_root}" -w \
"${gem5_root}"/tests --rm gcr.io/gem5-test/ubuntu-20.04_all-dependencies \
./main.py run --length very-long -j${threads} -t${threads}
# For the GPU tests we compile and run GCN3_X86 inside a gcn-gpu container.
docker pull gcr.io/gem5-test/gcn-gpu:latest
docker run --rm -u $UID:$GUID --volume "${gem5_root}":"${gem5_root}" -w \
"${gem5_root}" gcr.io/gem5-test/gcn-gpu:latest bash -c \
"scons build/GCN3_X86/gem5.opt -j${threads} \
|| (rm -rf build && scons build/GCN3_X86/gem5.opt -j${threads})"
# get LULESH
wget -qN http://dist.gem5.org/dist/develop/test-progs/lulesh/lulesh
mkdir -p tests/testing-results
# LULESH is heavily used in the HPC community on GPUs, and does a good job of
# stressing several GPU compute and memory components
docker run --rm -v ${PWD}:${PWD} -w ${PWD} -u $UID:$GID gcr.io/gem5-test/gcn-gpu gem5/build/GCN3_X86/gem5.opt gem5/configs/example/apu_se.py -n3 --mem-size=8GB --benchmark-root=gem5-resources/src/gpu/lulesh/bin -clulesh