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Parallel processing DNA sequences on multicluster and grid architectures : Software overhead

Chichizola, Franco et al · SEDICI UNLP · 2008

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Author / responsible party
Chichizola, Franco et al
Publisher
SEDICI UNLP
Year
2008
Language
English

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A DNA sequence analysis parallelization in large databases using cluster, multi-cluster, and GRID is presented. Achievable speedup, scalability, and overhead introduced by communications are discussed, and the impact of the Grid middleware on the performance obtained with clusters is detailed. The experimental work carried out with homogeneous and heterogeneous clusters is presented, along with a comparison of the results obtained when migrating the algorithms to a GRID. Finally, current lines of work related to the study of models and paradigms for the resolution of parallel algorithms on GRID architectures are presented. Workshop de Procesamiento Distribuido y Paralelo (WPDP) Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Chichizola, F. E. A. (2008). Parallel processing DNA sequences on multicluster and grid architectures: Software overhead. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21981

MLA

Chichizola, Franco et al. Parallel processing DNA sequences on multicluster and grid architectures: Software overhead. SEDICI UNLP, 2008. http://sedici.unlp.edu.ar/handle/10915/21981.

Chicago

Chichizola, Franco et al. 2008. Parallel processing DNA sequences on multicluster and grid architectures: Software overhead. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21981.

Harvard

Chichizola, F. E. A. 2008, Parallel processing DNA sequences on multicluster and grid architectures: Software overhead, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/21981 [Accessed 6 Aug. 2026].

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Title
Parallel processing DNA sequences on multicluster and grid architectures : Software overhead
Author / contributors
Chichizola, Franco et al
Publisher
SEDICI UNLP
Publication year
2008
Language
English

Subjects

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Ciencias Informáticas; Parallel algorithms; Distributed databases; Clustering
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