Advanced memory data structures de knüpfer andreas (6 resultados)

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Paperback. Condición: Brand New. 168 pages. German language. 8.66x5.91x0.38 inches. In Stock.

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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 Osn…abrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Editorial: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Sep 2015, 2015
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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 Pe…rformance 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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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 paral…lel and High Performance Computing (HPC).

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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 Perfor…mance 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.

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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 Perform…ance 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.