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eScience updates (#31)
* Revert "Updates eScience infrastructure to just use HPCIC images (#30)" This reverts commit a154f12. * update benchpark version * update tags
1 parent a154f12 commit abbf4a7

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2025-eScience/docker/Dockerfile.benchpark

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# For testing
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# FROM test-thicket
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FROM ghcr.io/llnl/thicket:hpcic-2025
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FROM ghcr.io/llnl/thicket:escience-2025
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USER root
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RUN git clone https://github.com/LLNL/benchpark.git ${HOME}/benchpark && \
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cd ${HOME}/benchpark && \
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git checkout -b develop-2025-08-25 develop-2025-08-25 && \
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git checkout -b develop-2025-09-10 develop-2025-09-10 && \
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git submodule update --init --recursive
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USER root

2025-eScience/docker/Dockerfile.spawn

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# For testing
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# FROM test-benchpark
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FROM ghcr.io/llnl/benchpark:hpcic-2025
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FROM ghcr.io/llnl/benchpark:escience-2025
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USER root
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2025-eScience/infrastructure/dry-run/config.toml

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hub_container_image = "jupyterhub/k8s-hub"
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hub_container_tag = "4.2.0"
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spawner_container_image = "ghcr.io/llnl/reproducible-benchmarking-spawn"
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spawner_container_tag = "hpcic-2025"
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spawner_container_tag = "escience-2025"
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spawner_image_entrypoint = "/entrypoint.sh 32"
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cpu_min = "32"
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cpu_max = "32"
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mem_min = "64G"
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mem_max = "64G"
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provide_extra_shmem = true
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init_container_image = "ghcr.io/llnl/reproducible-benchmarking-init"
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init_container_tag = "hpcic-2025"
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init_container_tag = "escience-2025"
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init_image_entrypoint = "/entrypoint.sh"
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[aws."utility scripts"]

2025-eScience/infrastructure/dry-run/helm-config.yaml

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# 5) Copy any necessary local scripts or files and ensure proper permissions
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image:
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name: ghcr.io/llnl/reproducible-benchmarking-spawn
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tag: "hpcic-2025"
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tag: "escience-2025"
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pullPolicy: Always
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# Specify the minimum (i.e., guarantee) and maximum (i.e., limit) amount of resources per user
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cpu:
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# chown -R 1000 /home/jovyan
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initContainers:
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- name: init-tutorial-service
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image: ghcr.io/llnl/reproducible-benchmarking-init:hpcic-2025
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image: ghcr.io/llnl/reproducible-benchmarking-init:escience-2025
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command: ["/entrypoint.sh"]
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imagePullPolicy: Always
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storage:

2025-eScience/infrastructure/production/config.toml

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hub_container_image = "jupyterhub/k8s-hub"
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hub_container_tag = "4.2.0"
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spawner_container_image = "ghcr.io/llnl/reproducible-benchmarking-spawn"
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spawner_container_tag = "hpcic-2025"
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spawner_container_tag = "escience-2025"
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spawner_image_entrypoint = "/entrypoint.sh 32"
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cpu_min = "32"
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cpu_max = "32"
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mem_min = "64G"
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mem_max = "64G"
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provide_extra_shmem = true
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init_container_image = "ghcr.io/llnl/reproducible-benchmarking-init"
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init_container_tag = "hpcic-2025"
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init_container_tag = "escience-2025"
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init_image_entrypoint = "/entrypoint.sh"
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[aws."utility scripts"]

2025-eScience/infrastructure/production/helm-config.yaml

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# 5) Copy any necessary local scripts or files and ensure proper permissions
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image:
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name: ghcr.io/llnl/reproducible-benchmarking-spawn
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tag: "hpcic-2025"
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tag: "escience-2025"
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pullPolicy: Always
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# Specify the minimum (i.e., guarantee) and maximum (i.e., limit) amount of resources per user
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cpu:
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# chown -R 1000 /home/jovyan
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initContainers:
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- name: init-tutorial-service
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image: ghcr.io/llnl/reproducible-benchmarking-init:hpcic-2025
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image: ghcr.io/llnl/reproducible-benchmarking-init:escience-2025
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command: ["/entrypoint.sh"]
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imagePullPolicy: Always
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storage:

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