Workflows
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Workflow for jobs
- Grids - overview of the computing farms and job submission
- POMS - grid campaign organization, submission and recovery tool
- HPC - high performance computing resources
- Docker software containers for submitting to special farms
- analysis workflow - how to read existing datasets
- production simulation workflow - how to run simulation, concatenate and upload the files
- MARS and G4Beamline workflow - these are not in the art framework
- Job planning - considerations of project CPU, disk, memory and file size
- Prestage - make sure files have been retrieved off tape and are ready to use
- SimulationFCL - an overview how MDC2020 fcl works
- GenerateFcl - generate fcl for simulation jobs
- SubmitJobs - submit, monitor and recover jobs in the workflow
- Concatenate - merging root and art files
- Upload - upload files to tape
- ErrorRecovery - how to recover from common errors
- Validation - check how code is performing
- Datasets - production datasets
- RunNumbers - run number ranges and uses
Data Handling
- dCache - the large aggregated data disk system
- enstore - the mass storage tape system
- File Transfer Service (FTS) - service to create SAM records and copy files to tape
- Raw Data Mover (RDM) - Mu2e service to copy teststand data files to tape
- Data transfer - how to move larger datasets, necessary for grid jobs
- File names - how to name files for upload or for production
- File families - the logical grouping of data on tapes
- SAM - file metadata and data handling management system
- SAM metadata - the metadata stored for each file
- SAM expert - some notes for the future, not of general interest
- File tools - tools for manipulating large file datasets and metadata
- FTS Upload - deprecated method to upload by the FTS area
- Rucio - next-gen data handling