With the rising importance of automation systems, the demands on computational requirements increase as well. Industrial automation systems not only have to perform complex calculations on huge amounts of data in real...
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ISBN:
(纸本)9781424468508
With the rising importance of automation systems, the demands on computational requirements increase as well. Industrial automation systems not only have to perform complex calculations on huge amounts of data in real-time, they also have to be reliable, which is essential for industry. Combining all requirements, it has increasingly become impossible to be achieved by a single PC. Fortunately, there is highperformancecomputing which provides various concepts of e. g. distributing algorithms to a cluster of PCs. Although HPC is common in scientific research, it is yet rarely found in industrial applications even though HPC can bring significant improvements. For this reason, we want to demonstrate how a HPC communication model with distribution and self-balancing mechanism can be applied to a concrete application of industry in practice.
When representing realistic physical phenomena by partial differential equations (PDE), it is crucial to approximate the underlying physics correctly, to get precise results, and to efficiently use the computer archit...
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When representing realistic physical phenomena by partial differential equations (PDE), it is crucial to approximate the underlying physics correctly, to get precise results, and to efficiently use the computer architecture. Incorrect results can appear in incompressible Navier-Stokes or Stokes problems when the numerical approach couples into spurious modes. In Maxwell or magnetohydrodynamic (MHD) equations the so-called spectrum pollution effect can occur, and the numerical solution does not stably converge to the physical one. Problems coming from a mesh that is not adapted to the underlying physical problem, or from an inadequate choice of the dependent and independent variables can lead to low precision. Efficiency of a code implementation can be improved by well adapting the parallel computer to the application. A new monitoring system enables to detect poor implementations, to find best suited resources to execute the job, and to adapt the processor frequency during. (C) 2010 Elsevier Ltd. All rights reserved.
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