CANCELED: Research Computing and Data Workshop Series - High-performance computing using UCF Stokes and Newton computing clusters

Tuesday, September 27, 2022 3 p.m. to 4 p.m.
This event has been canceled. Call or email the event's contact listed below for more information.

Computational research can analyze models and/or data to reach new conclusions in faster ways or more complex scenarios. UCF has a 4000+ core cluster for general-purpose computation for research across many fields of academic work. This workshop will review capabilities of the UCF Advanced Research Computing Center in general, with a focus on the general-purpose cluster (known as Stokes). Storage system usage, job scheduling and account balancing, and job submission will be covered with an interactive hands-on session (if an attendee does not yet have an ARCC account, please be sure to request an account ahead of time via the ARCC web site at arcc.ist.ucf.edu).

This workshop is being presented in hybrid format. You may choose to attend in-person or virtually via Zoom/Microsoft Teams. There is limited seating available for in-person attendance.

Presenters: 

Glenn Martin
Jamie Schnaitter

Registration link: 
https://ucf.qualtrics.com/jfe/form/SV_3QJAnzxr7f5fLdc

Research Computing and Data Workshops Series

We are pleased to bring to the UCF Research community a series of workshops on scientific computing and research data management. These workshops are being jointly presented by UCF LibrariesUCF Graduate and Research IT, and UCF Advanced Research Computing Center (ARCC) and will feature some guest speakers from the broader research community. This series also includes Software and Data Carpentries workshops (http://carpentries.org) which have been made possible through the sponsorship of Dr. Elizabeth Klonoff, Vice President for Research and Dean, College of Graduate Studies.

Upcoming Workshops

For the complete line-up of upcoming Research Computing and Data Workshops, please visit: https://rci.research.ucf.edu/workshops/2022/fall/

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Locations:

Research 1: 101 [ View Website ]

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research computing research data management