MidWest Grid School (MWGS'08)

Event Sponsor: 
MidWest Grid School MWGS08 Announcement
Start Date: 
Sep 17 2008 (All day) to Sep 19 2008 (All day)
Building/Room: 
Research Institutes, Room 480
Location: 
University of Chicago, 5640 S. Ellis Ave.
Speaker(s): 
Speaker(s) Title: 
Host: 

Please JOIN US for an exciting 3-day course in large-scale and high-performance grid computing to take place Sept. 17-19, 2008, at University of Chicago, Chicago IL.

The Open Science Grid (OSG), a major national grid infrastructure, provides scientists with more than 70 production sites offering over 20,000 CPUs and 4 Petabytes of storage to advance their research. This organization includes members from particle and nuclear physics, astrophysics, bioinformatics, gravitational-wave science and computer science collaborations, all contributing to the development of the OSG and benefiting from advances in grid technology. Applications in other areas of science, such as mathematics, medical imaging and nanotechnology can also gain from the interactions with OSG through its partnership with local and regional grids or their communities' use of the Virtual Data Toolkit software stack.

We invite you to learn more about grid and high throughput computing and its implications in various research areas through this intensive OSG course that introduces the techniques of grid and distributed computing for science and engineering with hands-on training in the use of large-scale grid computing resources.

The workshop will focus on enabling the use of OSG and TeraGrid cyberinfrastructure to perform large-scale computations and data-intensive processing in different application domains. Participants will learn how to use grids of thousands of processors and will be able to continue to use these resources for their research after the course completion.

The workshop will cover:

Overview of distributed computing concepts and tools
Concepts, tools, and techniques of grid computing
Discovering and using grid resources
Grid scheduling and distributed data management
Techniques for workflow and collaboration

Target audience:
Undergraduate and graduate students, researchers, educators and professionals in engineering, computer science, or any scientific, data-or computing-intensive discipline may apply.

Important deadlines:
Application Deadline: now OPEN (please visit website to
apply)

For more information and to apply, please visit www.opensciencegrid.org/workshop

You can also contact us at mwgs08@opensciencegrid.org

Miscellaneous Information: