Advanced Memory Data Structures for Scalable Event Trace Analysis

Language: English

Published by Südwestdeutscher Verlag Für Hochschulschriften Jul 2009, 2009

3838109430 / 9783838109435

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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.…

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Title
Advanced Memory Data Structures for Scalable Event Trace Analysis
Author
Andreas Knüpfer
Publisher
Südwestdeutscher Verlag Für Hochschulschriften Jul 2009
Publication year
2009
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838109430
ISBN 13
9783838109435
Item weight
268 grams
Dimensions
220x150x11 mm

buchversandmimpf2000

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