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INFN-CNAF Tier-1 user guideSummary

Children Display

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CNAF

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Tier-1

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Bastion & user interfaces

  1. x2go

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Farming

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Storage

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The HPC cluster

  1. Account Request

    1. Access

  2. SLURM architecture

    1. Check the cluster status with SLURM

  3. The structure of a basic batch job

    1. Submit basic instructions on Slurm with srun

    2. #SBATCH options

    3. Advanced batch job configuration

    4. Retrieve job information

    5. Killing a submitted job

  4. Submission examples

    1. Simple batch submit

    2. Simple MPI submit

    3. Simple GPU submit
    4. Simple Python submit
    5. Python submit with a virtual environment
  5. Migrating from LSF
  6. Environment Modules

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Digital Personal Certificates and Proxies management

  1. Manual proxy extension

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Job submission

  1. HTCondor jobs

    1. Submit local jobs

    2. Submit Grid jobs

    3. Experiment share usage

  2. Examples

    1.  Multiple job submission

    2. CPUs, GPUs and RAM requests

    3. Jobs with ROOT-program as executable

  3. Singularity in batch jobs

    1. Obtain images

    2. Create a new image using a recipe (expert users)

    3. Run software

  4. Jupyter notebook in interactive batch jobs
    1. File persistency and quota
    2. User environment customization
    3. Conda environment creation
    4. Software installation in a Conda environment 
  5. DAG Jobs
    1. Example

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Data Transfers

  1. Data transfers without SRM

  2. Data transfers with SRM

    1. Gfal utils

    2. ClientSRM utils

  3. XrootD (extended ROOT deamon)

  4. Data transfers using http endpoints

    1. Proxies
      1. Third-party-copies
    2. Tokens
      1. Curl examples 
      2. Data transfers inside a job

  5. Tape

    1. Check if the file is on the disk (using local POSIX commands)

    2. Check if the file is on the disk (with Grid tools using VO based authentication)

    3. Migrate files on tape

    4. Recall files from tape (using Grid tools with VO-based authentication)

    5. Recall files from tape (without Grid tools)

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Monitoring

  1. Monitoring with Grafana

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Helpful information and tips

  1. How to use Python libraries in a conda virtual environment
    1. On a user interface
    2. In a HTCondor job
  2. Other tips

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