High Performance Computing: Linux Cluster

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HIGH PERFORMANCE COMPUTING: DESIGN, BUILD AND BENCHMARK A LINUX CLUSTER by GOH YOKE LOONG KEM 050024 Semester 1 Session 2008/09

Final year research project report submitted to the Faculty of Engineering University of Malaya in partial fulfillment of the requirement to be Bachelor’s degree of Engineering

DEPARTMENT OF MECHANICAL ENGINEERING ENGINEERING FACULTY UNIVERSITY OF MALAYA October 2008

ABSTRACT Nowadays almost every industry needs fast processing power especially in engineering field. Manipulating high-resolution interactive graphics in engineering, such as in aircraft engine design, has always been a challenge in terms of performance and scalability because of the sheer volume of data involved.
[1]

Linux clustering is

popular in many industries these days. With the advent of clustering technology and the growing acceptance of open source software, supercomputers can now be created for cheaper cost of traditional high-performance machines. Due to these conditions compromise, the number, variety, and specialized configurations of these machines are increasing dramatically with 32 – 128 node clusters being commonplace in science labs.
[2]

As a result, the intent of this research is to use the latest open source

software and computers available in the computer laboratory of Mechanical Engineering Department, University of Malaya to design and build a High Performance Linux Cluster. This paper will present the clustering fundamentals and details of how to setup the cluster. High performance cluster is mostly parallel programming. This paper shows how to run parallel programming with Message Passing Interface (MPI). High-quality implementations for MPI are freely available for FORTRAN, C, and C++ for Linux. In this research, MPICH 2 is used as MPI implementation. Extensive research will be carried out by benchmarking the performance of the cluster with the standard test codes. The results gained will use to compare with the existing

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