Development of small scale cluster computer for numerical analysis

2nd International Conference on Computational Fluid Dynamics in Research and Industry

力学;计算机科学;工业技术

Zulkifli, N.H.N.^1 ; Sapit, A.^1 ; Mohammed, A.N.^1

Simulation and Turbulence Research Group, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia^1

关键词: Cluster calculations;    Communication test;    Computational physics;    Linux environment;    Mpi implementations;    Multi-core processor;    Performance tests;    Small-scale clusters;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/243/1/012031/pdf
DOI  :  10.1088/1757-899X/243/1/012031

来源: IOP

【 摘 要 】

In this study, two units of personal computer were successfully networked together to form a small scale cluster. Each of the processor involved are multicore processor which has four cores in it, thus made this cluster to have eight processors. Here, the cluster incorporate Ubuntu 14.04 LINUX environment with MPI implementation (MPICH2). Two main tests were conducted in order to test the cluster, which is communication test and performance test. The communication test was done to make sure that the computers are able to pass the required information without any problem and were done by using simple MPI Hello Program where the program written in C language. Additional, performance test was also done to prove that this cluster calculation performance is much better than single CPU computer. In this performance test, four tests were done by running the same code by using single node, 2 processors, 4 processors, and 8 processors. The result shows that with additional processors, the time required to solve the problem decrease. Time required for the calculation shorten to half when we double the processors. To conclude, we successfully develop a small scale cluster computer using common hardware which capable of higher computing power when compare to single CPU processor, and this can be beneficial for research that require high computing power especially numerical analysis such as finite element analysis, computational fluid dynamics, and computational physics analysis.