Isbn: 9783838109435 - advanced memory data structures for scalable event trace analysis: dissertation (6 resultados)

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  • Idioma: Inglés

    Editorial: Südwestdeutscher Verlag für Hochschulschriften, 2015

    3838109430 / 9783838109435

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    Taschenbuch. Condición: Neu. Advanced Memory Data Structures for Scalable Event Trace Analysis | Dissertation | Andreas Knüpfer | Taschenbuch | 168 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838109435 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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    Editorial: S dwestdeutscher Verlag f r Hochschulschriften, 2009

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Editorial: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Sep 2015, 2015

    3838109430 / 9783838109435

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This dissertation presents a novel approach for the analysis of event traces from parallel program runs. Event tracing is an established method for the analysis and optimization of performance and scalability of parallel and High Performance Computing (HPC) applications. The Complete Call Graph (CCG) data structure is introduced as an alternative in-memory representation for huge event traces. It exploits frequently found redundancies and provides customized data reduction in a combination of lossless and lossy compression. It achieves data compression by factors of ten to factors of hundred and requires no explicit decompression during the analysis. Furthermore, adapted evaluation procedures allow to reduce the computational effort in the same order of magnitude as the data compression. The thesis includes a comprehensive discussion of the state-of-the-art of event tracing and related work, a detailed presentation of the design of the CCG data structure, an elaborate description of the algorithms for construction, compression, and analysis of CCGs, and an extensive experimental validation of all components. 168 pp. Deutsch.…

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    Editorial: Südwestdeutscher Verlag für Hochschulschriften, 2015

    3838109430 / 9783838109435

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This dissertation presents a novel approach for the analysis of event traces from parallel program runs. Event tracing is an established method for the analysis and optimization of performance and scalability of parallel and High Performance Computing (HPC).…

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    Editorial: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2009

    3838109430 / 9783838109435

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This dissertation presents a novel approach for the analysis of event traces from parallel program runs. Event tracing is an established method for the analysis and optimization of performance and scalability of parallel and High Performance Computing (HPC) applications. The Complete Call Graph (CCG) data structure is introduced as an alternative in-memory representation for huge event traces. It exploits frequently found redundancies and provides customized data reduction in a combination of lossless and lossy compression. It achieves data compression by factors of ten to factors of hundred and requires no explicit decompression during the analysis. Furthermore, adapted evaluation procedures allow to reduce the computational effort in the same order of magnitude as the data compression. The thesis includes a comprehensive discussion of the state-of-the-art of event tracing and related work, a detailed presentation of the design of the CCG data structure, an elaborate description of the algorithms for construction, compression, and analysis of CCGs, and an extensive experimental validation of all components.…

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    Editorial: Südwestdeutscher Verlag Für Hochschulschriften Jul 2009, 2009

    3838109430 / 9783838109435

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This dissertation presents a novel approach for the analysis of event traces from parallel program runs. Event tracing is an established method for the analysis and optimization of performance and scalability of parallel and High Performance Computing (HPC) applications. The Complete Call Graph (CCG) data structure is introduced as an alternative in-memory representation for huge event traces. It exploits frequently found redundancies and provides customized data reduction in a combination of lossless and lossy compression. It achieves data compression by factors of ten to factors of hundred and requires no explicit decompression during the analysis. Furthermore, adapted evaluation procedures allow to reduce the computational effort in the same order of magnitude as the data compression. The thesis includes a comprehensive discussion of the state-of-the-art of event tracing and related work, a detailed presentation of the design of the CCG data structure, an elaborate description of the algorithms for construction, compression, and analysis of CCGs, and an extensive experimental validation of all components.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Deutsch.…