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Titlebook: High Performance Computing for Computational Science - VECPAR 2008; 8th International Co José M. Laginha M. Palma,Patrick R. Amestoy,João C

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Data Locality Aware Strategy for Two-Phase Collective I/O implementation. In order to increase the locality of the file accesses, LATP employs the Linear Assignment Problem (LAP) for finding an optimal distribution of data to processes, an aspect that is not considered in the original technique. This assignment is based on the local data that each process
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Resource Matching in Non-dedicated Multicluster Environmentss a non-dedicated and heterogeneous Multicluster environment which includes MetaLoRaS, a two-level MetaScheduler that manages the appropriate job allocation to available resources..In this paper, we present a new resource-matching model for MetaLoRaS, which is aimed at mitigating the degraded turnar
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High-Performance Query Processing of a Real-World OLAP Database with ParGRESn open-source database cluster middleware for high performance OLAP query processing. By exploiting intra-query parallelism on PC clusters, ParGRES has shown excellent performance using the TPC-H benchmark. In this paper, we evaluate ParGRES on a real-world OLAP database. Through adaptive virtual pa
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0302-9743 for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008. The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and di
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Peter Kacsuk,Attila Kertesz,Tamas Kissl vs. sequential logic, structural and behavioral description, digital circuit design, and finite state machines. It also includes numerous examples to make the concepts presented in text more easily understandable..
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