[NMScience] New Mexico Grid School (MeGS'08)

Coleen carviso at gallup.unm.edu
Wed Mar 18 10:01:45 MDT 2009


This is a great opportunity to get exposed to computational science and the
OpenScience Grid.

 

*******************************************************************

 

Dear all,

 

We would like to invite you to the upcoming grid computing workshop to be
held at The University of New Mexico - Albuquerque, April 8-10 2009.

 

Please help distribute the announcement below to interested institutions,
research labs and departments. Please encourage your colleagues and
co-workers interested in learning about grids and how OSG resources could
benefit their research to attend our next month event.

 

We would also like to launch a call for scientific application projects that
are ready to be adapted to the grid. We are planning on organizing a one-day
event in conjunction with the workshop, dedicated to porting user
applications to the grid.

 

We'll be able to provide on-site support and training for transitioning a
high throughput computational science application from a single machine to a
gridified version running on the Open Science Grid.

 

Thank you.

Alina Bejan

 

 

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********************************** 

 

 

New Mexico Grid School (MeGS'08) -- Call for Participation

 

Please JOIN US for an exciting 3-day course in large-scale and
high-performance grid computing to take place April 8-10, 2009, at
University of New Mexico, Albuquerque, NM.

 

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

* Grid site installation guidelines

 

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:

 

Registration Deadline: March 28, 2009 -- now OPEN (please visit website to

apply)

 

There is NO fee for attending the workshop, and limited travel support is
available.

 

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

You can also contact us at megs09 at opensciencegrid.org

 

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************************************* 

--

Alina Bejan, PhD

 

OSG EOT coordinator

Computation Institute

University of Chicago

5640 S Ellis Ave # 405

Chicago, IL 60637

abejan at ci.uchicago.edu

abejan at mcs.anl.gov

773-702-3492

 

 

Coleen Arviso 

Training and Development Consultant

Calvin Hall CH167B

200 College Road

Gallup NM 87301

 

Email:  <mailto:carviso at gallup.unm.edu> carviso at gallup.unm.edu 

Wk: (505) 863-7708

Fax: (505) 863-7681

 <http://www.gallup.unm.edu/> http://www.gallup.unm.edu/

 

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