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X-WR-CALNAME:Office of Advanced Research Computing
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
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DTSTART:20230312T070000
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DTSTART;TZID=America/New_York:20230804T130000
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SUMMARY:Python for Big Data
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nWorkshop content: In recent years\, Python has become one of the top programming languages for doing data analysis due to its inherent advantages such as simplicity\, readability\, portability\, etc.\, However\, Python is slow compared to C or Fortran\, and it does not manage memory well. These limitations\, with speed and memory management\, may not be significant when analyzing small datasets\, but they become bottlenecks when analyzing big datasets. \nTo address the challenges associated with big data analytics\, the Python community developed and tested several techniques. In this workshop\, we will go through some of these techniques including vectorization\, parallelization\, just in time compilation\, and distributed task executions. We will do hands-on exercises to emphasize the following solutions. \nObjectives \n\nHow to speed up the data analysis?\nWhat to do when the data set size exceeds the available physical memory?\nHow to distribute the workloads when doing machine learning for big data sets?\n\nIf you have questions or need help\, please email Bala Desinghu. \nAmarel account: Apply here as soon as possible. You must have an Amarel account set up before the workshop. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. Alternatively\, Windows 10 users can install the complete Windows Subsystem for Linux. \nRegister to attend the workshop: \n \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/python-for-big-data-part-8-4-23/
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DTSTART;TZID=America/New_York:20230815T080000
DTEND;TZID=America/New_York:20230816T190000
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UID:8442-1692086400-1692212400@oarc.rutgers.edu
SUMMARY:Amarel monthly maintenance
DESCRIPTION:Usually scheduled for every 3rd Tuesday and Wednesday of the month from 08:00 ET on the first day till 19:00 ET on the second day. \n2023 anticipated maintenance schedule (all dates subject to change):\nJAN 24-25 (1 week late)\nFEB 21-22\nMAR 14 -15 (1 week earlier\, spring break)\nAPR 18-19\nMAY 16-17\nJUN 20-21\nJUL 18-19\nAUG 15-16\nSEP 19-20\nOCT 17-18\nNOV 21-22\nDEC 19-20 \nMaintenance is usually scheduled for weekdays because it often involves coordination with University facilities teams or external vendors. There may also be times when Amarel must be unavailable due to externally-scheduled data center facilities\, power\, or telecommunications maintenance. When this happens\, we will do our best to avoid adding to a month’s downtime with our own maintenance work (e.g.\, by working in parallel or postponing some tasks). \n			\n				Visit Amarel system status for more information
URL:https://oarc.rutgers.edu/event/amarel-monthly-maintenance-8-15-23/
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