Over the last several years, the focus in high-performance computing (HPC) has shifted from massively parallel processors to symmetric multiprocessing (SMP) systems, and most recently, to loosely coupled, standards-based servers connected to form a cluster - popularly known as an HPC cluster. High-performance computing (HPC) clusters are proving to be suitable environments for running a wide range of parallel-processing applications. This paper discusses the performance and scalability of two domain specific scientific applications on a Dell PowerEdge HPC cluster running Linux: NAMD (for molecular dynamics) and DFT++ (for density-functional theory).
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