New PDF release: Algorithms and Architectures for Parallel Processing: 11th

By David Abramson (auth.), Yang Xiang, Alfredo Cuzzocrea, Michael Hobbs, Wanlei Zhou (eds.)

ISBN-10: 3642246494

ISBN-13: 9783642246494

ISBN-10: 3642246508

ISBN-13: 9783642246500

This quantity set LNCS 7016 and LNCS 7017 constitutes the refereed complaints of the eleventh foreign convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2011, held in Melbourne, Australia, in October 2011.
The first quantity offers 24 revised common papers and 17 revised brief papers including the summary of the keynote lecture - all conscientiously reviewed and chosen from eighty five preliminary submissions. The papers conceal the various dimensions of parallel algorithms and architectures, encompassing basic theoretical methods, sensible experimental effects, and advertisement elements and platforms and concentrate on wide parts of parallel and disbursed computing, i.e., architectures, algorithms and networks, and structures and applications.

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Additional resources for Algorithms and Architectures for Parallel Processing: 11th International Conference, ICA3PP, Melbourne, Australia, October 24-26, 2011, Proceedings, Part I

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In: Proceedings of the Symposium on Operating Systems Design and Implementation, OSDI (2002) 7. : Localized Faulty-Tolerant Event Boundary Detection in Sensor Networks. In: Proceedings of the IEEE Computer and Communications Societies, INFOCOM (2005) 8. : Distributed Detection of Node Replication Attacks in Sensor Networks. In: Proceedings of the IEEE Symposim on Security and Privacy (SP), pp. 49–63 (2005) 9. : Secure hierarchical in-network aggregation in sensor networks. In: Proceedings of the ACM Conference on Computer and Communication Security, CCS (2006) 10.

Timestamps in Message Passing Systems that Preserve the Partial Ordering. In: Proc. , pp. 55–66 (1988) 15. : Valgrind: a framework for heavyweight dynamic binary instrumentation. SIGPLAN Not. 42(6), 89–100 (2007) 16. org/ 17. : Programming with POSIX Threads. ser. Professional Computing Series. edu Abstract. This paper introduces a number of modifications that allow for significant improvements of parallel LLL reduction. 35 for SVP challenge type lattice bases in comparing the new algorithm with the state-of-the-art parallel LLL algorithm.

In the parallel reduction algorithm in [2], the routines SCALARPRODUCTS, ORTHOGONALIZATION, µ-UPDATE, and SIZEREDUCTION were separated by barriers in order to ensure the correctness of the respective computations. The results in [2] showed that the speed-up2 that can be achieved with this parallel aSE-LLL algorithm does not only depend on the type of the lattice basis to be reduced, but also depends on the architecture of the machine the algorithm is running on. In particular, the bandwidth and the latency for memory access has a profound effect on the speed-up that the algorithm can achieve.

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Algorithms and Architectures for Parallel Processing: 11th International Conference, ICA3PP, Melbourne, Australia, October 24-26, 2011, Proceedings, Part I by David Abramson (auth.), Yang Xiang, Alfredo Cuzzocrea, Michael Hobbs, Wanlei Zhou (eds.)


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