This February, the Center for Computation and Visualization at Brown University will host a series of workshops covering basic topics relevant to high-performance and research computing.
All workshops will be held in the Digital Scholarship Lab @ Rockefeller Library on the Brown campus at 10 Prospect Street, Providence, RI.
Please sign up for any number of workshops through this interest form: brown.edu/go/ccv-workshops
The workshop schedule and sample topics to be covered include:
Tuesday, February 11, 2013
0900-1130 Introduction To Unix and Linux
* What are operating systems? Why use Linux?
* Connecting remotely to a Linux system
* Layout of the file system
* Users, groups, and permissions
* The command prompt and basic commands
* Editing text
1230-1500 Automating Tasks Through Scripting
* Pipes and filters
* Shell utilities: grep, find, awk, sed
* Matching text with regular expressions
* Bash scripting
Wednesday, February 12, 2013
0900-1100 Effective Use of HPC Resources
* Basic computer systems and HPC architecture
* Types of jobs: Parallel vs serial vs threaded
* Requesting the right resources for your job
Thursday, February 13, 2013
0900-1130 Data Management
* Data management plans for grant proposals
* Conventions for naming files and directories
* Compression and archiving: zip, tar, gzip, bzip
* Transferring files with scp and rsync
* Revision control with git
1230-1500 Introduction to 2D Visualization
* Importing and plotting data in Python and Matlab
* Producing 2D plots for publication
* Basic InfoVis concepts: color, spatial layout, human perception
For all workshops:
* A laptop is HIGHLY recommended to follow along with the exercises and examples.
* The workshops are part of our HPC Basic Certificate Program, but participation in the Certificate Program is NOT required for participation in the workshops.

RI NSF EPSCoR is supported in part by the U.S. National Science Foundation under EPSCoR Cooperative Agreements #OIA-2433276 and in part by the RI Commerce Corporation via the Science and Technology Advisory Committee [STAC]. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation, the RI Commerce Corporation, STAC, our partners or our collaborators.