Research Computing Workshops

Did you know that the UC San Diego Geisel Library offers workshops for research computing? These workshops are aimed at individuals with little or no previous experience with computer programming or Supercomputing.

Can your research benefit by attending one or both of these?

Software Carpentry Workshop, May 23-24, 2017

The UC San Diego Library is hosting a 2 day Software Carpentry (SWC) workshop covering introductory Unix Shell, Git/Github, and Python. Software Carpentry lessons are structured for novices and NO programming experience is necessary!

For further information, see https://ucsdlib.github.io/2017-05-23-UCSDHPC/ or contact Reid Otsuji, rotsuji@ucsd.edu

Date: May 23-24, 2017
Location: Biomedical Library Building, Classroom 4
Time: 9:00a – 4:30p
Fee: $20
Seats are limited.

Register here!  

There will be a follow up 1-day High Performance Computing workshop held on May 31st  .  If you attend the SWC workshop and would like to learn about HPC register today for the HPC workshop (below).  


Introducing High Performance Computing, May 31, 2017

This workshop will be taught by Andre Zonca, High Performance Computing specialist at the San Diego Supercomputer Center. This is a hands-on introduction to Supercomputing to learn how to connect to the UCSD Supercomputer and launch simple parallel jobs. Targeted to people with NO previous experience in Supercomputing!

Date: May 31, 2017
Location: Biomedical Library Building, Classroom 4
Time: 9:00a – 4:30p
HPC workshop registration:

Register here: http://ucsd.libcal.com/event/3324412

Requirements:

  • Basic familiarity with the Terminal required
  • Basic knowledge of Python recommended to better follow the examples but not necessary
  • Attendance to a Software Carpentry workshop provides this skillset
  • ** upcoming 2-day Software Carpentry Workshop: May 23-24, 201 (above)

HPC Topics: 

  • Connect to TSCC (Triton Shared Computing Cluster), the UCSD local Supercomputer
  • Understand the functionality and the use case of different file systems
  • Interact with the batch scheduler
  • Parallel programming in Python: Multicore
  • Parallel programming in Python: Multiple nodes with MPI-based communication

For more information about the HPC workshop please contact Andrea Zonca at: zonca@sdsc.edu

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