Implementation of Parallelization and Nano Simulation using Multi-Scale
Modeling on various HPC setups
Rohit Pathak, and Satyadhar Joshi
Abstract- We have implemented multifarious aspects of nano
simulation using multi scale modeling on various HPC (High
Performance Computing) setups. Distribution of jobs from
macro to nano scale has been shown which holds the essence of
simulation at nano scale. This distribution is substantiated on
MPI (Message Passing Interface) and PVM (Parallel Virtual
Machine) on MATLAB, Linux and WCCS (Windows Compute
Cluster Server) environments. In this paper we have shown the
connections and a novel way of implementing multi scale
computations on an HPC setup. We have also compared the
implementation of MPI and PVM based HPC setup for
MATLAB, Linux and WCCS environments. The selection
criteria for identification and proposition of the tool, protocol
and environment for an HPC setup plays an important role in
deciding the tool to be used. Comparison of the advantages and
disadvantages of each of the methodologies being put forward.
MPI.NET was used under WCCS where C# was used. The
latest versions were used for PVM Linux based setup where
Open SUSE Linux was used as the operating system. The main
two criteria user friendly and performance were compared and
the recommendations are made for making the right balance
between them.
I. INTRODUCTION
mportance of HPC and multi scale modeling are eminent
in current era where nanotechnology plays a very
important role. Various models for HPC have been
proposed but very less has been talked about different
models available for an HPC based setup for multi scale
modeling. Because each simulation needs a model of an
HPC setup which has its advantages and disadvantages, so
we need to take into consideration many aspects before
deciding our requirements. Multi scale modeling poses
some challenges which can be met by choosing the
appropriate environment for HPC. Also the cost of the HPC
setups may vary so it is important to select things as per our
needs.
Combination of continuum mechanics with quantum
simulations is shown with the essence of multi scale
modeling and simulation of Nanosystems [1]. Thus a basic
foundation in this regard has been laid but its application on
HPC setup still needs to be implemented which has been
shown in this paper. As shown in fig.1 we have distributed
our computations in various computational domains as per
the HPC setup. In multi scale approach continuum
mechanics to quantum mechanics linking and accurate
simulation of properties Multi scale modeling for single
electron device has been studied but the HPC setup
complexities involved is an area to work in this regard
before it can be usefully implemented [4]. Multi scale
modeling can also be used for bio complexity as discussed
[6]. Thus we can see the effect of developments in multi
scale modeling can benefit major areas across many
domains.
There is a necessity of large scale computer simulation
tools and numerical algorithms for the structural design and
modeling of Nanorobots which required a HPC setup. A
methodology making use of multi-scalar and multi-physics
modeling combined with virtual reality has been presented
earlier for nanorobotic prototyping systems and the
demonstration of integration of physics at various length
scales and time scales has been brought to fruition. Furthur a
reduction of 10
-6
seconds in time for computation with
respect to a very short time scale of 10
-12
seconds using
multiscale modeling using molecular dynamics and
continuum mechanics approaches was achieved [21]. Thus
this remains one of the major areas where HPC will benefit
a lot in making things fast and reliable. We can see that
applications in the areas of novel polymer composites for
ultrahigh density capacitors for pulsed power applications
and ballistic electron transport innovative molecule-on-
semiconductor configuration exhibiting negative differential
resistance have been presented in [22] which again shows
the need for multi scale modeling.
Nano-imprint technology is one of the most promising
methodologies for the manufacture of nanometer-size
formation. A multi-scale analysis arrangement has been
proposed for the simulation of nano imprint technology and
some useful results have been presented by Kim et al. and
the estimation of viscoelasticity on molecular weight of
polymer stamps has been carried out which can be
implemented if the complexities and confusions area
addressed in HPC which we have tried to address [23].
Also the usage of analysis scheme and the obtained results
for the determination of suitable materials for nano
imprinting stamps and process parameters such as pressure,
time, and geometric ratios etc. of nano patterns has been
suggested. Better thermoelectric materials designing
necessitates the use of cutting-edge techniques and
simulation tools as proposed [5]. Parallel Approach to the
Nano thermal Numerical Analysis has been discussed in [3]
where the effect of single electronics in the device thermal
composition has been computed but this kind of
computation can only be solved by optimizing the
computations on an HPC setup.
The implicated complexities levy quite a challenge on
physics based multiscale modeling, far surpassing the
capabilities of existing tools in this field and in the absence
of awareness about the complexities and options that are
there for implementing multi scale modeling on HPC these
work cannot get to some reasonable result and application.
Distribution of various level of computations has been
demonstrated in Fig.1. Thus we have presented some
solutions which will help in increasing the rapidly
commercialization of various devices modeled by multi
scale modeling and take the research to a yield point. Each
I
Manuscript received April 15, 2009.
Rohit Pathak is with the Computer Science Department, Acropolis
Institute of Technology & Research, Indore, M.P., India (e-mail:
rohitpathak@ieee.org)
Satyadhar Joshi is with the Electronics & Electricals Dept., Shri
Vaishnav Institute of Technology & Science, Indore, M.P., India (e-mail:
satyadhar_joshi@yahoo.com)
2009 Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2009)
Monash University, Sunway campus, Malaysia, 25th & 26th July 2009.
978-1-4244-2887-8/09/$25.00 ©2009 IEEE 249
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