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Try Pecan CPU/GPU
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.devcontainer/devcontainer.json

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@@ -2,7 +2,7 @@
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"build": {
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"dockerfile": "Dockerfile",
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"args": {
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"GEOS_TPL_TAG": "261-272"
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"GEOS_TPL_TAG": "261-281"
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}
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},
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"runArgs": [

.github/workflows/build_and_test.yml

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@@ -73,7 +73,7 @@ jobs:
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steps:
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- name: does_pr_have_necessary_labels
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if: ${{inputs.REQUIRED_LABEL && github.event_name == 'pull_request'}}
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run: |
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run: |
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pr_json=$(curl -H "Accept: application/vnd.github+json" https://api.github.com/repos/${{ github.repository }}/pulls/${{ github.event.number }})
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LABELS=$(echo ${pr_json} | jq -crM '[.labels[].name]')
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echo " the labels are ${LABELS}"

.github/workflows/ci_tests.yml

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@@ -155,11 +155,11 @@ jobs:
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ENABLE_TRILINOS: OFF
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HOST_CONFIG: /spack-generated.cmake
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#- name: Pecan CPU (centos 7.7, gcc 8.2.0, open-mpi 4.0.1, mkl 2019.5)
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# CMAKE_BUILD_TYPE: Release
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# DOCKER_REPOSITORY: geosx/pecan-cpu-gcc8.2.0-openmpi4.0.1-mkl2019.5
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# HOST_CONFIG: host-configs/TOTAL/pecan-CPU.cmake
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# GCP_BUCKET: geosx/Pecan-CPU
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- name: Pecan CPU (centos 7.7, gcc 8.2.0, open-mpi 4.0.1, mkl 2019.5)
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CMAKE_BUILD_TYPE: Release
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DOCKER_REPOSITORY: geosx/pecan-cpu-gcc8.2.0-openmpi4.0.1-mkl2019.5
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HOST_CONFIG: host-configs/TOTAL/pecan-CPU.cmake
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GCP_BUCKET: geosx/Pecan-CPU
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- name: Pangea 2 (centos 7.6, gcc 8.3.0, open-mpi 2.1.5, mkl 2019.3)
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CMAKE_BUILD_TYPE: Release
@@ -284,24 +284,24 @@ jobs:
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# DOCKER_CERTS_UPDATE_COMMAND: "update-ca-certificates"
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# HOST_CONFIG: /spack-generated.cmake
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- name: Centos (7.7, gcc 8.3.1, open-mpi 1.10.7, cuda 11.8.89)
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BUILD_AND_TEST_CLI_ARGS: "--no-run-unit-tests --no-install-schema"
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CMAKE_BUILD_TYPE: Release
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DOCKER_REPOSITORY: geosx/centos7.7-gcc8.3.1-cuda11.8.89
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RUNS_ON: streak2
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NPROC: 16
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DOCKER_RUN_ARGS: "--cpus=16 --memory=256g --runtime=nvidia -v /etc/pki/ca-trust/source/anchors/:/etc/pki/ca-trust/source/anchors/llnl:ro"
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DOCKER_CERTS_DIR: "/etc/pki/ca-trust/source/anchors"
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DOCKER_CERTS_UPDATE_COMMAND: "update-ca-trust"
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HOST_CONFIG: /spack-generated.cmake
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# - name: Centos (7.7, gcc 8.3.1, open-mpi 1.10.7, cuda 11.8.89)
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# BUILD_AND_TEST_CLI_ARGS: "--no-run-unit-tests --no-install-schema"
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# CMAKE_BUILD_TYPE: Release
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# DOCKER_REPOSITORY: geosx/centos7.7-gcc8.3.1-cuda11.8.89
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# RUNS_ON: streak2
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# NPROC: 16
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# DOCKER_RUN_ARGS: "--cpus=16 --memory=256g --runtime=nvidia -v /etc/pki/ca-trust/source/anchors/:/etc/pki/ca-trust/source/anchors/llnl:ro"
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# DOCKER_CERTS_DIR: "/etc/pki/ca-trust/source/anchors"
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# DOCKER_CERTS_UPDATE_COMMAND: "update-ca-trust"
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# HOST_CONFIG: /spack-generated.cmake
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# Below this line, jobs that deploy to Google Cloud.
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# - name: Pecan GPU (centos 7.7, gcc 8.2.0, open-mpi 4.0.1, mkl 2019.5, cuda 11.5.119)
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# BUILD_AND_TEST_CLI_ARGS: "--build-exe-only --no-install-schema"
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# CMAKE_BUILD_TYPE: Release
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# DOCKER_REPOSITORY: geosx/pecan-gpu-gcc8.2.0-openmpi4.0.1-mkl2019.5-cuda11.5.119
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# HOST_CONFIG: host-configs/TOTAL/pecan-GPU.cmake
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# RUNS_ON: Runner_4core_16GB
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- name: Pecan GPU (centos 7.7, gcc 8.2.0, open-mpi 4.0.1, mkl 2019.5, cuda 11.5.119)
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BUILD_AND_TEST_CLI_ARGS: "--build-exe-only --no-install-schema"
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CMAKE_BUILD_TYPE: Release
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DOCKER_REPOSITORY: geosx/pecan-gpu-gcc8.2.0-openmpi4.0.1-mkl2019.5-cuda11.5.119
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HOST_CONFIG: host-configs/TOTAL/pecan-GPU.cmake
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RUNS_ON: Runner_4core_16GB
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# - name: Sherlock GPU (centos 7.9.2009, gcc 10.1.0, open-mpi 4.1.2, openblas 0.3.10, cuda 11.7.1,)
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# BUILD_AND_TEST_CLI_ARGS: "--no-run-unit-tests --no-install-schema"

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