By Achim Basermann, Hans-Peter Kersken (auth.), Christian Bischof, Heinz-Gerd Hegering, Wolfgang E. Nagel, Gabriel Wittum (eds.)
This e-book offers the state of the art in simulation on supercomputers. prime 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 unique emphasis on industrially proper functions. offering effects for large-scale parallel microprocessor-based platforms and GPU and FPGA-supported structures, the ebook makes it attainable to match the functionality degrees and usefulness of assorted architectures. Its extraordinary ends up in attaining the top functionality for construction codes are of specific curiosity for either scientists and engineers. The ebook contains a wealth of colour illustrations and tables.
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Additional resources for Competence in High Performance Computing 2010: Proceedings of an International Conference on Competence in High Performance Computing, June 2010, Schloss Schwetzingen, Germany
It consists, for the time being, on hardware counter monitoring and analysis, taking to our advantage the rich facility given by the Itanium 2 architecture to provide detailed information on micro-architectural events. The supercomputer has a total of 9,728 processing cores which will be referred to as CPUs in the rest of this paper. Partitions are a group of CPUs with shared memory and in this machine there are 512 CPUs per partition. The Altix 4700, also called HLRB2, has a total of 19 partitions.
Section 7 describes our ongoing and future work. Section 8 concludes the paper with a brief summary of J-Cell’s key research goals. 2 System Overview J-Cell’s core principle is the concept of objects as universal state containers. These objects represent not only application-level data, but also execution contexts and code. They form a directed graph with object references as edges. The actual location of an object is not important for the functioning of the application, provided that the runtime can resolve the reference at runtime (see Sect.
Here we again record 10 million events, this time by calling MPI_Comm_rank() in a simple MPI program. The results show that IPM can handle at least roughly 10 million events per second per application process on a contemporary platform. This number should exceed the messaging rate of an individual process in today’s HPC applications. Finally, we studied the effect IPM monitoring has on a full application by conducting an ensemble study of the MAESTRO application with and without IPM enabled. 5% for the whole application (including writing the profiling report).