| Power
sharing makes light work of data-heavy tasks
5 Nov 2003
The promise of efficient data management
and the quick calculation of complex computational problems
has various organi-sations flocking to the National Grid
for spare computing resources.
The National Grid Pilot Platform has had an enthusiastic
response from various organisations and companies that
want to use its cyber infrastructure for research.
There are 10
pilot projects, but not all are live yet. Some of the institutions
are now writing software to grid-enable their applications,
so that they can run on the Pilot Platform. Here is a brief snapshot of some of the projects.
• Monitoring the weather
Satellite images, beamed back to earth several times
every day, help scientists either prevent or quickly
detect environmental
disasters such as forest fires, earthquakes and oil spills.
Scientists in Singapore are using satellite images
to monitor an aquatic pheno-menon known as the
'Red Tide'
which can
kill millions of fish. Every day, hundreds of images
are beamed from orbiting satellites to receivers at
the National
University of Singapore's Centre for Remote Imaging,
Sensing and Processing (Crisp).
The raw images, however, are difficult to read as they
appear 'curved' due to the spherical shape of the earth.
Computational power is used to correct
this curvature through a process known as geo-rectification. It takes
up to 20 minutes for a single Pentium 4 processor to
rectify each image.
But scientists at the School of Computing (SOC), NUS,
have developed a grid application that can break
up each image into segments and give
each
segment
to a processor on the grid. 'As a result what took 20 minutes can be
done in a fraction of the time,' said Associate Professor Teo Yong
Meng of the
SOC,
who heads the project.
• Drawing faster
The Distributed Computer-Assisted Cel Animation ven-ture by Nanyang Technology
University seeks to increase the creativity and productivity of artists
by cutting down time and labour costs associated especially with frame
drawing and painting. This is achieved by sending pairs of key frames drawn
by
artists
to different compute resources to automatically generate user-specified
scenes.
• Boosting research on strokes
A project called distributed Dissipative Particle Dyna-mics (DPD) aims to create
software models for DNA molecules and blood cells to explore
the flow of fluids in these channels.
As DPD simulation is a computer-intensive process,
grid computing enables each flow domain to be divided
up and then assigned to compute
resources where the
simulations of particle flows are executed concurrently.
The study can help boost research on strokes. The
Singapore MIT Alliance, NUS
and
the Institute of High Performance Computing (IHPC) are carrying
out the task.
• Flows over dimpled surfaces
Dimples on a golf ball help to improve the distance it can fly when it is hit.
Industrial applications have since recognised that dimpled
surfaces can influence flow structures. For example, in aerospace, turbine
blades
with dimpled surfaces
can be cooled down more easily. This is an assignment by
Singapore MIT
Alliance and the IHPC to simulate flow structures.
• Finding cures for diseases
Undertaken by the BioInformatics Institute (BII), this project seeks to speed
up gene analysis using a technique called Blast. A
software application, Blast helps scientists match genes they are studying
against
a database of known
genes to find similarities, which can help in drug
research or
help find cures for diseases. It takes a single computer a long time
to run blast
searches, as the software must sift through databases containing
millions of
genes.
Grid-enabling
blast applications now allow the same task to be com-pleted
in much less time.
• Discovering new drugs
A collaboration between Singapore Polytechnic and Keio University of Japan,
this project aims to develop an e-Cell gene simulation
system on a multi-processor platform. The collaboration is to jointly
develop a simulation that will
run on the National Grid although it is currently
running on
a single
processor platform.
According to Dr Ng Yan Hong at the polytechnic, an
e-Cell is an electronic simulation of a cell with
only 127 genes,
which
was
deve-loped
by scientists at Keio University, to study cell behaviour
on computers rather
than
under microscopes in the labs. The aim of the
e-Cell simulation is to help scientists
discover new drugs. - Radha Basu with inputs
from the National Grid Office
[Source:
Computer Times, 5 Nov 03]
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