[Scientific-computing-resources] Webcast TACC Training Opportunities Corral and HPC Python

Thomas Spencer Thomas.Spencer <@t> UTSouthwestern.edu
Mon Oct 1 09:19:34 CDT 2012

TACC will be offering two webcast classes in October.  Please see below
for more information.  If you have any questions, please email:

Thomas Spencer, MBA

Manager of Operations
Office of Academic Information Systems
UT Southwestern Medical Center
Ph: 214-645-7143
Fax: 214.645-7376


Class 1) TACC Training: Using Corral for Research Data Management Using
Corral for Research Data Management.

Corral is the research data storage resource provided by TACC as part of
the UT System Research Cyberinfrastructure initiative.

In this training, current and prospective users will receive a brief
overview of the system followed by detailed discussion of some of the
common usage modes, examples of how to perform tasks such as uploading
data, changing access permissions, and using graphical client tools to
manipulate data on Corral.

TACC will demonstrate both basic file system access and the iRODS data
management system, which provides additional metadata management and data
collections features for users with complex collections of data, and we
will also discuss important topics such as open vs closed web access,
sharing of data, and incorporation of Corral into data management plans
for NSF and NIH.

This class will be WEBCAST.

October 25, 2012
1 p.m. to 4 p.m.
J.J. Pickle Research Campus
ROC 1.900
10100 Burnet Rd.
Austin, TX 78758

The class will consist of a roughly 2-hour presentation and webcast,
followed by an opportunity for one-on-one training and consultation with
TACC staff.


Please submit any questions that you may have via the TACC consulting
system: http://portal.tacc.utexas.edu/consulting


Class 2) TACC Training: HPC Python Tutorial 10-15

As HPC widens its vision to include big data and non-traditional
applications, it must also embrace languages that are easier for the
novice, more robust for general computing, and more productive for the
expert. One candidate language is Python.  Python is a versatile language
with tools as diverse as visualizing large amounts of data, creating
innovative user interfaces, and running large distributed jobs.
Unfortunately, Python has a reputation for poor performance. In this
tutorial, we give a user practical experience using Python for scientific
computing tasks. Topics include array computing with NumPy, interactive
development with IPython, low-level C linking with Cython, distributed
computing with MPI, and performance issues.

Recommended prerequisites:

Basic programming knowledge with Python. A good tutorial is available
online here:


Remote attendees can install the used libraries versions (all included in
Enthought Python Distribution[0] except mpi4py):

Python 2.7
numpy 1.6
scipy 0.10
IPython 0.12
cython 0.15
mpi4py 1.2.2

http://enthought.com/products/epd.php http://enthought.com/products/epd.php

This class will be WEBCAST.

October 15, 2012
9 a.m. to 4 p.m. (CT)
J.J. Pickle Research Campus
ROC 1.900
10100 Burnet Rd.
Austin, TX 78758


Please submit any questions that you may have via the TACC Consulting
System. http://portal.tacc.utexas.edu/consulting/



UT Southwestern Medical Center
The future of medicine, today.

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