Titlebook: Euro-Par 2017: Parallel Processing Workshops; Euro-Par 2017 Intern Dora B. Heras,Luc Bougé,Josef Weidendorfer Conference proceedings 2018 S

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Stateful Load Balancing for Parallel Stream Processingf it over a relative long period. We evaluate our approaches with both synthetic and real data. The results show that they can adapt effectively to load variations and improve latency efficiently comparing to the existing solutions whom ignored the overhead of state movement in stateful load balancing.

談判

Runtime Support for Distributed Dynamic?Localityecified predicates such as filter- and group transformations and locality-aware partitioning. To facilitate integration in existing applications, we discuss adapters to maintain compatibility with the established hwloc API.

Anterior

Netloc: A Tool for Topology-Aware Process Mappingr Netloc tool for gathering network topology in a generic way can be combined with the state-of-the-art Scotch partitioner for computing topology-aware MPI process placement. Our experiments with a stencil application on a fat-tree machine show that we are able to significantly improve the runtime in the vast majority of cases.

NATAL

Conference proceedings 2018m?small to the largest parallel and distributed systems and infrastructures, from?fundamental computational problems to full-edged applications, from architecture,?compiler, language and interface design and implementation to tools, support?infrastructures, and application performance aspects..

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https://doi.org/10.1007/978-3-658-17709-6theoretical study on the costs of information management operations, also giving an empirical validation of such findings. Finally, we presented an experimental evaluation of the ability of our solution to be effective and efficient in retrieving meaningful information in streams on a highly-dynamic and distributed scenario.

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