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SUMMARY:Mathematical simulation for 3-Dimensional Temperature Visualizatio
n on Open Source-based Grid Computing Platform
DTSTART;VALUE=DATE-TIME:20090323T070000Z
DTEND;VALUE=DATE-TIME:20090323T072000Z
DTSTAMP;VALUE=DATE-TIME:20200225T025514Z
UID:indico-contribution-839696@indico.cern.ch
DESCRIPTION:Speakers: Noriza Satam (Department of Mathematics\, Faculty of
Science\,Universiti Teknologi Malaysia)\, Norma Alias (Institute of Ibnu
Sina\, Universiti Teknologi Malaysia\,)\nNew Iterative Alternating Group E
xplicit (NAGE) is a powerful parallel numerical algorithm for multidimensi
onal temperature prediction. The discretization is based on the finite dif
ference method of partial differential equation (PDE) with parabolic type.
The 3-Dimensional temperature visualization is critical since itâ€™s invo
lves large scale of computational complexity. The three fundamental applie
d mathematics issues under consideration are as follows:\ni. The accura
te modeling of physical systems using finite differential methods.\nii.
The investigation of discretization methods that retain constraint-preser
ving properties of mathematical modeling.\niii. The high performance me
asurements of parallel algorithms involving time and space.\nThis paper pr
oposed the NAGE method as a straight forward transformation from sequentia
l to parallel algorithm using domain decomposition and splitting strategie
s. The processes involving the scheduling of communication\, algometric an
d mapping the subdomain into a number of processors.\nThis computational c
hallenge encourages us to utilize the power of higher performance computin
g. By the means of higher performance computing\, the computation cannot b
e relying on just one single set of cluster. Therefore\, this research tak
es the advantage of utilizing multiple set of clusters from geographically
different location which is known as grid computing. In realizing this co
ncept\, we consider the advantages of data passing between two web service
s which each are connected with one or multiple set of clusters. For this
kind of relationship\, we choose service-oriented architecture (SOA) style
. Each web services are easily maintainable since there is loose coupling
between interacting nodes. The development of this architecture is based o
n several programming language as it involves algorithm implementation on
C\, parallelization using Parallel Virtual Machine (PVM) and Java for web
services development. The grid computing platform is an open source-based
and will be develop under Linux environment. The platform development will
increase the acceleration and scaled-out across a virtualized grid. The c
lusters of processors involved in this platform are developed on increasin
gly-larger computational hardware with inexpensive architecture. As the co
nclusions\, this leading grid-based application platform has a bright pote
ntial in managing highly scalable and reliable temperature prediction visu
alization. The efficiency of this application will be measured based on th
e results of numerical analysis and parallel performance.\n\nhttps://indic
o.cern.ch/event/35523/contributions/839696/
LOCATION:Prague
URL:https://indico.cern.ch/event/35523/contributions/839696/
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