Jupyter updates for Kestrel #628
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yandthj
requested changes
May 15, 2024
| Lab has many new and different extensions, but many are also not compatible between Notebook and Lab. Lab is still under development, so is lacking some features of "classic" notebooks. | ||
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| ### **Kernel** | ||
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| Kernels define the Python environments used by your notebooks. Derived from ipykernel, a predecessor project to Jupyter: you may see Jupyter kernels referred to as "ipykernels". Custom kernels require the "ipykernel" package installed in your Jupyter conda environment. | ||
| Kernels define the Python environments used by your notebooks. Derived from ipykernel, a predecessor project to Jupyte. You may see Jupyter kernels referred to as "ipykernels". Custom kernels require the "ipykernel" package installed in your Jupyter conda environment. |
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| Kernels define the Python environments used by your notebooks. Derived from ipykernel, a predecessor project to Jupyte. You may see Jupyter kernels referred to as "ipykernels". Custom kernels require the "ipykernel" package installed in your Jupyter conda environment. | |
| Kernels define the Python environments used by your notebooks. Derived from ipykernel, a predecessor project to Jupyter. You may see Jupyter kernels referred to as "ipykernels". Custom kernels require the "ipykernel" package installed in your Jupyter conda environment. |
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| A replacement for Europa on Kestrel is in the planning stage. | ||
| This service is not directly accessible externally for non-NREL HPC users. However, it may be reached by using the HPC VPN, or by using a FastX Remote Desktop session via the DAV nodes. |
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Could add links to HPC VPN page and FastX page
| * No competing with other users for CPU cores and RAM, and no Arbiter2 process throttling. | ||
| * Less than a whole node may be requested via the shared node queue, to save AU. |
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could link to shared node partition page
| ### Advantages: | ||
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| * Custom conda environments to load preferred libraries. | ||
| * Full node usage: Exclusive access to the resources of the node your job is reserved on, including up to 36 CPU cores and up to ~750GB RAM on Eagle bigmem nodes, and up to 104 CPU cores and up to ~2TB RAM on Kestrel bigmem nodes. See the system specifications page for the cluster you are working on. | ||
| * Full node usage: Exclusive access to the resources of the node your job is reserved on, including up to 104 CPU cores and up to 240GB RAM on Kestrel CPU nodes and up to 2TB RAM on Kestrel bigmem nodes. (See the system specifications page for more information on the types of nodes available on Kestrel.) |
yandthj
approved these changes
May 15, 2024
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Documentation cleanup to include Kestrel-Jhub, remove Europa and Eagle references.