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Parallel implementation of the recurrence method for computing the power-spectral density of thin avalanche photodiodes

Parallel implementation of the recurrence method for computing the power-spectral density of thin avalanche photodiodes

Pan, Y., Ierotheou, C.S. and Hayat, M.M. (2002) Parallel implementation of the recurrence method for computing the power-spectral density of thin avalanche photodiodes. In: Proceedings. International Conference on Parallel Processing. 2002. Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 298-305. ISBN 0769516777 ISSN 1530-2016 (doi:10.1109/ICPPW.2002.1039744)

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Abstract

A simulation program has been developed to calculate the power-spectral density of thin avalanche photodiodes, which are used in optical networks. The program extends the time-domain analysis of the dead-space multiplication model to compute the autocorrelation function of the APD impulse response. However, the computation requires a large amount of memory space and is very time consuming. We describe our experiences in parallelizing the code using both MPI and OpenMP. Several array partitioning schemes and scheduling policies are implemented and tested Our results show that the OpenMP code is scalable up to 64 processors on an SGI Origin 2000 machine and has small average errors.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings. International Conference on Parallel Processing. 2002
Additional Information: [1] This paper was first presented at the International Conference on Parallel Processing (ICPP 2002 Workshops) held from 18-21 August 2002 in Vancouver, Canada. The paper was given within the Workshop on High Performance Scientific and Engineering Computing with Applications (HPSECA).
Uncontrolled Keywords: avalanche photodiodes, digital simulation, electronic engineering computing, message passing, parallel machines, parallel programming, transient response
Subjects: Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
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Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/871

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