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Configuration and Performance of a Beowulf Cluster for Large-Scale Scientific Simulations
March/April 2005 (vol. 7 no. 2)
pp. 14-26
Matthias K. Gobbert, University of Maryland, Baltimore County
Beowulf clusters use commodity components in their individual compute nodes, such as Intel Xeon CPUs, yielding a good return on investment. With a high-performance communication network and extended hard-disk storage, they become viable platforms for large-scale parallel applications. The judicious combination of a numerical algorithm, its efficient implementation, and the right hardware can achieve parallel computing's two fundamental goals: to solve problems faster and to solve larger problems than on a serial computer.
Index Terms:
reaction-diffusion equation, finite-element method, matrix-free iterative method, cluster computing, high-performance interconnect
Citation:
Matthias K. Gobbert, "Configuration and Performance of a Beowulf Cluster for Large-Scale Scientific Simulations," Computing in Science and Engineering, vol. 7, no. 2, pp. 14-26, March-April 2005, doi:10.1109/MCSE.2005.29
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