High Performance Computing on Vector Systems 2008 by Sabine Roller, Katharina Benkert, Martin Galle, Wolfgang

By Sabine Roller, Katharina Benkert, Martin Galle, Wolfgang Bez, Hiroaki Kobayashi, Toshio Hirayama

This ebook offers the state-of-the-art in high-performance computing and simulation on smooth supercomputer architectures. It covers traits in and software program improvement commonly and in particular the way forward for vector-based platforms and heterogeneous architectures. the applying contributions disguise computational fluid dynamics, fluid-structure interplay, physics, chemistry, astrophysics, and weather study. leading edge fields like coupled multi-physics or multi-scale simulations are provided. All papers have been selected from displays given on the 7th Teraflop Workshop, held in November 2007 at Tohoku college, Japan; the 8th Teraflop Workshop, held in April 2008 on the Höchstleistungsrechenzentrum Stuttgart (HLRS), Germany; and on the Japan Atomic strength corporation in April 2008.

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Extra resources for High Performance Computing on Vector Systems 2008

Sample text

A data verification test to validate the functionality of mGFS has been carried out successfully after an IB HCA FW update was done. 288 MB/s for read and 136 MB/s for write was measured on one client node which is quite similar to the results on the Opteron Prerequisites for the Productive Usage of Hybrid Systems 29 Fig. 6 GFS evaluation environment server under SLES9. Next steps were to move to GFS production environment, see also Fig. 7, and to perform stability and scalability tests with a higher number of PC cluster nodes.

First, the output is observed event-driven, at discrete moments after each process. Thus, it is possible to interfere with the system between process steps. Second, with in situ measuring techniques, the output can be measured and adjusted already during the process which necessitates a continuing observation of the production system. With this holistic model approach the interaction between technical processes and logistics can be detected and considered. Technical tolerances as well as logis- Complex Numerical Simulations in Production Techniques 41 tic parameters span a tolerance and parameter channel over the process sequence (Figure 3).

If all parts of the simulation have to run on the same system, the commercial tool determines the architecture to be used. This is a severe restriction for high performance computing. It is illegitimate to assume that all modules in coupled simulations are suited for the same architecture. One can devise several combinations of applications and hardware platforms. Therefore, it takes careful thinking about the requirements of each module and how to each module individually to the best suited hardware platform.

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