https://dsl.saintpeters.edu/ 2026-06-16T09:33:17+00:00 https://dsl.saintpeters.edu/ https://dsl.saintpeters.edu/lib/tpl/dokuwiki/images/favicon.ico text/html 2025-10-09T16:33:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://dsl.saintpeters.edu/doku.php?id=how_do_i&rev=1760027626&do=diff How Do I ? This page include answers to many of the commonly asked questions about the cluster. Please send any questions you may have to deadline@basement-supercomputing.com For a faster response use DSL in the subject line. Request Library or Application text/html 2022-03-31T15:51:05+00:00 Anonymous (anonymous@undisclosed.example.com) https://dsl.saintpeters.edu/doku.php?id=start&rev=1648741865&do=diff Welcome to the Data Science Lab Cluster DSL LAB IS OPEN You will need an account to get started (contact the Lab Admin). This wiki will be updated as new capabilities are added. * Python Anaconda is installed * RStudio is installed * Zeppelin Notebooks are now full configured for Python, PySpark, Spark, Hive, and shell programming. A notebook called text/html 2024-03-10T23:03:25+00:00 Anonymous (anonymous@undisclosed.example.com) https://dsl.saintpeters.edu/doku.php?id=system_access&rev=1710111805&do=diff System Access System Access Has Three Modes: * Physical Lab Access * Web Access (This Wiki Page and the Zeppelin workbook) * SSH access (terminal access) FIRST STEPS: Accounts and Passwords Accounts must be assigned before you can access the system. Fill out the form below to request an account on the cluster. Within 24 hours of reviving the request, you will be given a password for the system. The password will work or all the workstations in the DSL and will work for remote access u… text/html 2019-09-04T20:32:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://dsl.saintpeters.edu/doku.php?id=system_description&rev=1567629144&do=diff System Description The follow diagram is a how the cluster is configured in the classroom. [The Data Science Lab Cluster] Combined Cluster Specification Total Number of Nodes (Motherboards): 30 Total Number of Cores: 144 Physical Cores Per Motherboard: 4 Number of Physical Cores: 120 text/html 2022-02-15T20:02:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://dsl.saintpeters.edu/doku.php?id=using_rclone&rev=1644955327&do=diff Configuring and Using rclone rclone is tool for using remote cloud based storage systems. You must have a valid account on one of the remote cloud systems to use rclone See the rclone page for more information. The following example demonstrates how to use rclone