An Allana Variance Computation from Very Large Datasets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127800" target="_blank" >RIV/00216305:26220/18:PU127800 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

An Allana Variance Computation from Very Large Datasets

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20205 - Automation and control systems

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 24 th Conference STUDENT EEICT 2018

ISBN

978-80-214-5614-3

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

363-367

Publisher name

Neuveden

Place of publication

Brno

Event location

Brno

Event date

Apr 26, 2018

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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