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Month/Year /

Wednesday October 23, 2019 11:00 AM to 1:00 PM
 
This session will illuminate working of Notebooks like applications on FASRC cluster like Jupyter, RStudio Server, Matlab,  etc.
 
 
Audience: Campus-Wide
Pre-Requisites: Bring your laptop.

Sign up at Harvard Training Portal

 
OnCampus: Northwest Building, 52 Oxford St, Room 353 
or
Online details: Join Zoom meeting
https://harvard.zoom.us/j/189036384

Join by telephone
+1 929 436 2866 US (New York)
Meeting ID: 189 036 384
One tap mobile +19294362866,,189036384# US (New York)
International numbers available: https://zoom.us/u/ad6p9Vgm5p

Event Types:

Wednesday October 23, 2019 12:00 PM to 3:00 PM
Wednesday October 30, 2019 12:00 PM to 3:00 PM
Wednesday November 6, 2019 12:00 PM to 3:00 PM

Research Computing holds office hours Wednesdays, 12PM-3PM, at 38 Oxford Street, first floor, room 100. Research Computing staff is on hand to answer questions and troubleshoot problems.

For directions or additional dates, see our Office Hours page: https://www.rc.fas.harvard.edu/training/office-hours/

Additionally, we offer training sessions before office hours on certain dates. See our Training Calendar for details: https://www.rc.fas.harvard.edu/upcoming-training/

Event Types:

Wednesday November 6, 2019 11:00 AM to 1:00 PM
 
This session will introduce you to GPU computing on FASRC cluster and Introduction to CUDA environment. It will cover libraries and tools for GPU computing with examples of configuring the tools.
 
Audience: Campus-Wide
Pre-Requisites: Bring your laptop.

Sign up at Harvard Training Portal

On-Campus: Northwest Building, 52 Oxford St, Room 353 
or
Online details: Join Zoom meeting
https://harvard.zoom.us/j/189036384

Join by telephone
+1 929 436 2866 US (New York)
Meeting ID: 189 036 384
One tap mobile +19294362866,,189036384# US (New York)
International numbers available: https://zoom.us/u/ad6p9Vgm5p

Event Types:

Wednesday November 20, 2019 11:00 AM to 1:00 PM
 
There are three main types of parallel workflows: pleasantly parallel (job-array), tightly coupled (SMP threads) and distributed parallelism (MPI).  Each of these workflows has a different requirement when submitting to the SLURM job scheduler. This session will cover the basic concepts around parallel processing and provide examples on how best to submit and scale your jobs.
 
Audience: Campus-Wide
Pre-Requisites: Bring your laptop.

Sign up at Harvard Training Portal

On-Campus: Northwest Building, 52 Oxford St, Room 353
or
Online details: Join Zoom meeting
https://harvard.zoom.us/j/189036384

Join by telephone
+1 929 436 2866 US (New York)
Meeting ID: 189 036 384
One tap mobile +19294362866,,189036384# US (New York)
International numbers available: https://zoom.us/u/ad6p9Vgm5p

Event Types: