.. admonition:: Join the Purdue AF support channel on CERN Mattermost `https://mattermost.web.cern.ch/cms-exp/channels/purdue-analysis-facility `_ (CERN login required) Purdue Analysis Facility ====================================== The Purdue Analysis Facility is designed to provide an interactive environment for fast and scalable CMS physics analyses using dedicated computing resources at Purdue. | |login_to_af| | .. |login_to_af| raw:: html
🚀 Login to Purdue Analysis Facility
.. admonition:: Supported login credentials: * Purdue University account (BoilerKey) * CERN account (CMS users only) * FNAL account | Purdue AF features a JupyterLab interface with access to CPUs, GPUs, and distributed computing resources via SLURM and Dask Gateway. It features a software stack suitable for all steps of HEP analysis design and execution, including popular tools such as ``coffea``, ``ROOT``, ``RDataFrame``, as well as popular machine learning packages like ``tensorflow``. Users are provided with a variety of data access methods (``XRootD``, ``XCache``, ``Rucio``), as well as multiple private and shared storage volumes. The software and functionality is regularly updated to provide state-of-the-art tools and features for fast, efficient, collaborative HEP research. .. image:: https://cms.geddes.rcac.purdue.edu/users-graph/purdue-af-registered-users.png :alt: Purdue AF User Statistics :align: center :width: 900px .. toctree:: :caption: Documentation :maxdepth: 1 doc-getting-started doc-interface doc-login-methods doc-storage doc-software doc-gpus doc-data-access doc-hardware doc-support doc-contributing .. toctree:: :hidden: :caption: Monitoring Monitoring dashboard .. toctree:: :hidden: :caption: User guides :maxdepth: 1 guide-conda-to-pixi guide-upload guide-ssh-access guide-combine guide-roofit-cuda guide-ide-connection guide-dask guide-dask-gateway guide-rucio guide-cern-eos guide-binderhub guide-mc-gen guide-demos guide-eos-write .. toctree:: :hidden: :caption: Useful links Purdue Tier-2 website CMS Common Analysis Tools documentation Data Aggregation System (DAS)