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Simulation and Visualization on the Grid - Parallelldatorcentrum Kungl Tekniska Hoegskolan Seventh Annual Conference Stockholm, Sweden December 1999 Proceedings (Paperback, 2000 ed.)
Loot Price: R4,577
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Simulation and Visualization on the Grid - Parallelldatorcentrum Kungl Tekniska Hoegskolan Seventh Annual Conference Stockholm, Sweden December 1999 Proceedings (Paperback, 2000 ed.)
Series: Lecture Notes in Computational Science and Engineering, 13
Expected to ship within 10 - 15 working days
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It is now 30 years since the network for digital communication, the
ARPA-net, first came into operation. Since the first experiments
with sending electronic mail and performing file transfers, the
development of networks has been truly remarkable. Today's Internet
continues to develop at an exponential rate that even surpasses
that of computing and storage technologies. About five years after
being commercialized, it has become as pervasive as the tele phone
had become 30 years after its initial deployment. In the United
States, the size of the Internet industry already exceeds that of
the auto industry, which has been in existence for about 100 years.
The exponentially increas ing capabilities of communication,
computing, and storage systems is also reshaping the way science
and engineering are pursued. Large-scale simulation studies in
chemistry, physics, engineering, and sev eral other disciplines may
now produce data sets of ,several terabytes or petabytes.
Similarly, almost all measurements today produce data in digital
form, whether from collections of sensors, three-dimensional
digital images, or video. These data sets often represent complex
phenomena that require rich visualization capabilities and
efficient data-mining techniques to under stand. Furthermore, the
data may be produced and archived in several differ ent locations,
and the analysis carried out by teams with members at several
locations-possibly distinct from those with significant storage,
computation, or visualization facilities. The emerging
computational Grids enable the transparent use of remote
instruments, computational and data resources.
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