Difference between revisions of "EPSCI HowTos"
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− | + | * [[Create apptainer+GPU interactive farm job (can be used w/ Jupyter)]] | |
− | + | * [[Jupyter via VSCode remote-ssh with singularity on ifarm]] | |
− | [[Media:HostingDocsOnGithub.pdf]] | + | * [[Install and configure cvmfs on MacOS]] |
+ | * [[Use CLion with Docker (eic-shell)]] | ||
+ | * [[Access files on JLab XrootD server]] | ||
+ | * [[Use JANA2 + GPU in singularity container]] | ||
+ | * [[Using devtoolset-9 on your RHEL7 desktop/laptop]] | ||
+ | * [[Media:HostingDocsOnGithub.pdf | Generating and Hosting Documentation on Github]] | ||
+ | * [[Media:VTP_DAQ.pdf | Running a CODA DAQ System with a VTP Data Source]] | ||
+ | * [[HEP C++ Course links]] | ||
+ | * [[Adding the ZOOM add-in to Outlook Web]] | ||
+ | * [[Make and use tensorflow-lite]] | ||
+ | * [[Install an EJFAT Load Balancer]] |
Latest revision as of 16:13, 13 November 2024
- Create apptainer+GPU interactive farm job (can be used w/ Jupyter)
- Jupyter via VSCode remote-ssh with singularity on ifarm
- Install and configure cvmfs on MacOS
- Use CLion with Docker (eic-shell)
- Access files on JLab XrootD server
- Use JANA2 + GPU in singularity container
- Using devtoolset-9 on your RHEL7 desktop/laptop
- Generating and Hosting Documentation on Github
- Running a CODA DAQ System with a VTP Data Source
- HEP C++ Course links
- Adding the ZOOM add-in to Outlook Web
- Make and use tensorflow-lite
- Install an EJFAT Load Balancer