By Achim Basermann, Hans-Peter Kersken (auth.), Christian Bischof, Heinz-Gerd Hegering, Wolfgang E. Nagel, Gabriel Wittum (eds.)
This ebook provides the cutting-edge in simulation on supercomputers. major researchers current effects completed on platforms of the Gauss-Allianz, the organization of High-Performance Computing facilities in Germany. The reviews hide all fields of computational technological know-how and engineering, starting from CFD to Computational Physics and Biology to computing device technological know-how, with a different emphasis on industrially proper purposes. providing effects for large-scale parallel microprocessor-based structures and GPU and FPGA-supported structures, the booklet makes it attainable to check the functionality degrees and value of assorted architectures. Its notable leads to attaining the top functionality for construction codes are of specific curiosity for either scientists and engineers. The publication incorporates a wealth of colour illustrations and tables.
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Extra info for Competence in High Performance Computing 2010: Proceedings of an International Conference on Competence in High Performance Computing, June 2010, Schloss Schwetzingen, Germany
The horizontal axis is the buffer size n used in the operation and the vertical axis denotes how many calls have had a buffer size smaller or equal to n. Effective Holistic Performance Measurement at Petascale Using IPM 23 • A similar cumulative distribution graph is also provided where the accumulation is not performed over the number of calls but the time spent in the messaging operation instead. The graph in Fig. 5c shows an example. • A communication topology graph as shown in Fig. 5d. This graph shows the amount of data exchanged between a pair of processes.
Having several levels of parallelization is one of the fundamentals of Pre-Stack PRO’s interactivity. com. Pre-Stack PRO: A High-Performance Seismic Data Processing Solution 49 introduced by message passing based communication. Dedicated threadpools with priority levels guarantee parallel processing and visualization and the fast parallel filesystem builds the basis for loading the desired data fast from hard disk into the GPI space. Algorithms that are implemented in Pre-Stack PRO first have to pass an optimization step.
Figure 8 on page 47 shows some screenshots of the Pre-Stack PRO viewer windows. 3 Fraunhofer Parallel File System The fact that Pre-Stack PRO is able to work on very big datasets using the GPI calls for very fast I/O. Therefore Pre-Stack PRO relies on a fast parallel filesystem to aggregate the I/O speed of the available hard drives (Fig. 9). 48 T. Götz and A. Neundorf Fig. 9 Structure of the FhGFS with clients, metadata and storage servers The Fraunhofer Parallel Filesystem (FhGFS2 ) is another Fraunhofer development and optimized for HPC usage.