An Allan Variance Computation From Very Large Datasets

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Kunz, Jan

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Mark

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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

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This paper deals with calculating an Allan variance from a large datasets, which does not fit into a RAM memory. For this reason a parallel method is implemented in LabVIEW 2015 and tested on four different configurations of personal computer. An execution time was measured for a dataset of 2 754 448 000 samples. The time varies in dependence on calculated samples and the configuration of the computer. For the faster computers execution takes several minutes, whereas on the slower one the longest tested calculation of 100 samples per decade takes about two hours, which is still practical.

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Proceedings of the 24th Conference STUDENT EEICT 2018. s. 363-367. ISBN 978-80-214-5614-3
http://www.feec.vutbr.cz/EEICT/

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Peer-reviewed

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en

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