Computational Science and High Performance Computing: by Yu. I. Shokin, L. B. Chubarov (auth.), Professor em.

By Yu. I. Shokin, L. B. Chubarov (auth.), Professor em. Professor h.c. Dr. Egon Krause, Professor Dr. Yurii I. Shokin, Professor Dr. Michael Resch, Dr.-Ing. Nina Shokina (eds.)

This quantity includes contributions to the Russian-German complicated learn Workshop on Computational technology and excessive functionality Computing as awarded in September 2003 at Novosibirsk (Academgorodok), Russia. The workshop used to be geared up together through the German excessive functionality Computing heart Stuttgart (HLRS) and the Russian Institute for Computational applied sciences (ICT SB RAS). The contributions variety from laptop technological know-how, arithmetic and excessive functionality computing to purposes in mechanical and aerospace engineering. they create jointly a wealth of theoretical paintings and simulation adventure and hence exhibit the potential for bringing jointly theoretical mathematical modelling with using strong excessive functionality computing platforms and current the state-of-the-art of computational technologies.

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Additional info for Computational Science and High Performance Computing: Russian-German Advanced Research Workshop, Novosibirsk, Russia, September 30 to October 2, 2003

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The differences in the communication characteristics for data exchange inside a system and between processes located on systems at different sites require special programming techniques for hiding the wide area latency and dealing with the low bandwidth [31, 32, 33, 34]. High Performance Computing in Engineering and Science 37 Another level of heterogeneity is introduced by the different methods of access to the different machines in a Grid, e. g. ssh [35], UNICORE [36] or Globus GSI [23]. A number of tools were developed or extended to support simulation in GRID environments [37, 38, 39, 40, 41, 42].

Integrated simulation of blood flow in large arteries Following the work-flow for a simulation of an AAA we encounter the following steps: Data Gathering: In the case of a patient data gathering is done using Computer Tomography (CT) or Magnetic Resonance Imaging (MRI) scanners. In both cases hundreds or even thousands of two-dimensional images are created that when put together can give a three-dimensional representation of the scanned human body. These two-dimensional images are the base for any further investigation - just like a CAD file is the base for any further simulation of a car or plane in an engineering application.

Consequently a file transfer would require 80000 to 800000 seconds - or one to 10 days. In order to avoid data transfer pre- and post-processing have to be fully integrated into the concept. This requires a file system with the following two main characteristics: Heterogeneity: The file system has to be able to support multiple platforms. Pre- and post-processing systems will typically be cheaper standard computer systems while the supercomputer will be an expensive and very special system. With the growing performance of PCs for visualization post-processing is moving away from the traditional sgi-systems - at least for the low end.

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