Titlebook: Euro-Par 2009 - Parallel Processing; 15th International E Henk Sips,Dick Epema,Hai-Xiang Lin Conference proceedings 2009 Springer-Verlag Be

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书目名称Euro-Par 2009 - Parallel Processing影响因子(影响力)




书目名称Euro-Par 2009 - Parallel Processing影响因子(影响力)学科排名




书目名称Euro-Par 2009 - Parallel Processing网络公开度




书目名称Euro-Par 2009 - Parallel Processing网络公开度学科排名




书目名称Euro-Par 2009 - Parallel Processing被引频次




书目名称Euro-Par 2009 - Parallel Processing被引频次学科排名




书目名称Euro-Par 2009 - Parallel Processing年度引用




书目名称Euro-Par 2009 - Parallel Processing年度引用学科排名




书目名称Euro-Par 2009 - Parallel Processing读者反馈




书目名称Euro-Par 2009 - Parallel Processing读者反馈学科排名

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Ibis: A Programming System for Real-World Distributed Computingters, grids, clouds, desktop grids, and mobile devices. Writing applications for such systems has become increasingly difficult. The aim of the Ibis project is to drastically simplify the programming of such applications. The Ibis philosophy is that real-world distributed applications should be deve

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What Is in a Namespace? process of building these distributed systems easier, by abstracting away many of the complexities of the physical topology, and provide a virtual namespace. The virtual namespace can then be exploited, for example to build or maintain other data structures like a tree to support application-level

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Introduction opportunities for exploiting parallelism in a wider spectrum of application domains. However, the increasing complexity of parallel and distributed platforms renders the programming, the use, and the management of these systems a costly endeavor that requires advanced expertise and skills. There is

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Assigning Blame: Mapping Performance to High Level Parallel Programming Abstractionsith greater ease. The data structures used allow the modeling of complex mathematical structures like linear systems and partial differential equations using high-level programming abstractions. While this allows programmers to model complex systems in a more intuitive way, it also makes the debuggi

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Pattern Matching and I/O Replay for POSIX I/O in Parallel Programs POSIX I/O functions and to create I/O dependency graphs for parallel program runs. The resulting graphs will be compressed by a pattern matching algorithm and used as an input for a flexible I/O benchmark. The first parts of the paper cover the information gathering and compression in the area of P

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Grouping MPI Processes for Partial Checkpoint and Co-migrationing on that node will experience slow down. This can quickly affect overall application performance. Slow running processes can be checkpointed and migrated to more lightly loaded nodes to sustain application performance. To do this, however, it must be possible to; 1) identify affected processes an