By Achim Basermann, Hans-Peter Kersken (auth.), Christian Bischof, Heinz-Gerd Hegering, Wolfgang E. Nagel, Gabriel Wittum (eds.)
This booklet offers the state of the art in simulation on supercomputers. best researchers current effects completed on structures of the Gauss-Allianz, the organization of High-Performance Computing facilities in Germany. The experiences conceal all fields of computational technological know-how and engineering, starting from CFD to Computational Physics and Biology to computing device technology, with a distinct emphasis on industrially correct purposes. providing effects for large-scale parallel microprocessor-based structures and GPU and FPGA-supported structures, the e-book makes it attainable to check the functionality degrees and usefulness of varied architectures. Its impressive leads to attaining the top functionality for creation codes are of specific curiosity for either scientists and engineers. The booklet features 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
3). On the second layer of parallelization, for the high volume, high frequency data exchange between the single compute nodes in the cluster, the Fraunhofer Global Address Space Programming Interface (GPI) is used (see Sect. 1). While GPI addresses parallelization on the node level, the Fraunhofer Multicore Thread Package (MCTP) is used for the parallelization within a single node. PreStack PRO uses dedicated threadpools for processing, visualization and I/O with one thread per core. Using priority levels guarantees, that threadpools with the most important tasks get more compute time on the CPU.
While working out-of-core, Pre-Stack PRO still allows interactive working in parallel. This feature allows usage of Pre-Stack PRO on any cluster with at least two compute nodes. 3 The Pre-Stack PRO Architecture One of the key elements to Pre-Stack PRO’s high level of interactivity is the separation of the application into a user interface and a computation application. The small, Linux based user interface can run on almost every notebook or desktop and connects to the backend application on a (large) Linux Infiniband cluster.
These snapshots come in form of the GAOs’ version history lists. If these lists span multiple physical nodes in the system, they also provide redundancy that allows the system to resume after a hardware failure. J-Cell’s redundancy control mechanism aims at fostering such a preferable situation: For each GAO whose versions are stored on at least two different processor nodes, the protocol keeps (at least) two versions on different processor nodes. But since keeping arbitrary versions does not guarantee a consistent snapshot, the redundancy control mechanism has to consider the dependencies between the transactions, especially between the GAO versions in the read and write sets.