Leveraging Linux for Supercomputing

High-performance computing (HPC) applications such as numerical simulation — whether for forecasting, mechanical and structure simulation, or computational chemistry — require a large number of CPUs for processing. To meet these needs, customers must buy a large-scale system that enables parallel processing so that the simulation can be completed in the shortest possible time. Such solutions are available in two forms: scale-up and scale-out.

Traditionally, scale-up customers have had no choice but to purchase high-cost, proprietary shared-memory symmetric multiprocessing (SMP) systems for HPC needs with proprietary operating systems such as AIX, Solaris, HPUX and others. These SMP systems require significant investment in system-level architecture by computer manufacturers.

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