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The demand for computational power has significantly increased in the nanoscience era because simulations are usually performed at molecular levels with quantum mechanics. At the same time, the performance and availability of both commodity computers and inexpensive high-speed networking hardware have increased drastically in the past decades. Hence, scientists and engineers working on nanoscience simulations may attempt to build a small- or medium-size high-performance computing cluster at their laboratories. However, building a high-performance computing cluster is not a simple task,…mehr

Produktbeschreibung
The demand for computational power has significantly increased in the nanoscience era because simulations are usually performed at molecular levels with quantum mechanics. At the same time, the performance and availability of both commodity computers and inexpensive high-speed networking hardware have increased drastically in the past decades. Hence, scientists and engineers working on nanoscience simulations may attempt to build a small- or medium-size high-performance computing cluster at their laboratories. However, building a high-performance computing cluster is not a simple task, especially for nanoscience researchers whose specialties are not on subjects in computer science. Fortunately, with the usage of Diskless Remote Boot for Linux (DRBL), the construction and maintenance of a computing cluster are greatly simplified and, thus, become feasible for researchers without much prior exposure to computer sciences. This monograph presents the procedures to construct a high-performance computing cluster in a waythat can be followed by less system-oriented researchers. The interested readers can follow the idea or can use it as a guide to build their own system.
Autorenporträt
Tsung-Lung Li received his Ph.D. in Electrical Engineering from the University of Washington, Seattle, Washington, USA in 1994. He is a Professor at the Department of Electrophysics, National Chia-Yi University, Chiayi, Taiwan. His research interests include computational physics, first-principle methods, and nanoscience and nanotechnology.