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]] | ||
| + | * [[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]] | * [[Using devtoolset-9 on your RHEL7 desktop/laptop]] | ||
* [[Media:HostingDocsOnGithub.pdf | Generating and Hosting Documentation on Github]] | * [[Media:HostingDocsOnGithub.pdf | Generating and Hosting Documentation on Github]] | ||
| Line 6: | Line 11: | ||
* [[HEP C++ Course links]] | * [[HEP C++ Course links]] | ||
* [[Adding the ZOOM add-in to Outlook Web]] | * [[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