Dear All,

I am pleased to inform you that we will be exhibiting Gridbus technologies
and applications at the upcoming IEEE Supercomputing (SC 2003)
to be held in Phoenix, Arizona, USA, Nov 18-20, 2003.
Some info on our HPC Challenge demo, can be found below.

If are planning to attend the conference, please visit us at:
Booth # 38 (University of Melbourne).

See you in Phoenix.

Thanks
Raj

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Global Data-Intensive Grid Collaboration:
A SC 2003 HPC Challenge Demo,

http://gridbus.cs.mu.oz.au/sc2003/

The Global Data-Intensive Grid Collaboration has assembled heterogeneous
applications,
resources, and technologies of both tightly and loosely coordinated groups and
institutions around the world in order to demonstrate the two HPC Challenges of
SC 2003:
Most Data-Intensive and Geographically Distributed Applications. The
collaboration has put
together a World-Wide Grid (WWG) that contains over 200 Grid nodes (PCs,
workstations,
clusters, supercomputers, databases, and applications) contributed by
organizations and
volunteers based in Australia, Asia, Europe, North America, and South America.
We will
demonstrate on demand deployment of various data-intensive computing
applications from
natural language processing and particle physics to portfolio analysis on the
WWG using
the Grid Server Broker (GSB) developed by the Gridbus project. The broker has
the ability
to simultaneously utilise resources (desktop PCs or clusters) running Windows
and managed
using the Alchemi.NET Grid framework and Unix-class operating systems (such as
Linux &
Solaris) and Grid-enabled using the Globus software. If an application needs to
access
remote databases, we provide transparent data access mechanisms and a catalogue
that
supports logical mapping of data files to a distributed storage devices. The
broker
performs discovery and online extraction of data-sets from the closest data
sources and
then farms out analysis jobs to optimal resources. The broker evaluates whether
to process
jobs on a resource where the data is available by moving the application code,
move data
to a resource where the application is available, or move both of them to a
suitable
computing resource. The results will be visualised online.

Demo Location/Time:
University of Melbourne Booth 38, Tuesday 1100, Wednesday 1100, Thursday 1100,
and on
demand; HPC Challenge (Room 40-41), Wednesday 11.30-12.30

Collaboration Coordinator:
Dr. Rajkumar Buyya, University of Melbourne, Australia - raj@...
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