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Performance analysis of parallel demographic simulation

Performance analysis of parallel demographic simulation
Performance analysis of parallel demographic simulation

Today, we have seen an increase in the number of papers on parallel simulation applications outside the traditional military and network simulations areas, such as in the physical science and management science. One of the new areas in which parallel simulation could be used is demography, specifically for population projection. In this paper, we report the performance evaluation results of a parallel demographic simulation tool called Yades. We investigate the effect of three factors: unbalanced workload, heterogeneous processing speed and heterogeneous communication latency on performance measures such as: time spent in executing useful events, time spent for overhead and the number of rollbacks. The results are consistent with what has been reported in other application areas of parallel simulation. Since the application in demography is new, it is useful to quantify the effect of the three factors on performance.

Demographic simulation, Parallel simulation, Performance analysis, Simulation tool
142-148
Onggo, Bhakti S.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Montanola-Sales, Cristina
dcbb960c-b51e-4120-bf3c-fd8e6dbd82c8
Casanovas-Garcia, Josep
9a35ab9f-8adc-47ce-90fd-6b893e3db28e
Onggo, Bhakti S.S.
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Montanola-Sales, Cristina
dcbb960c-b51e-4120-bf3c-fd8e6dbd82c8
Casanovas-Garcia, Josep
9a35ab9f-8adc-47ce-90fd-6b893e3db28e

Onggo, Bhakti S.S., Montanola-Sales, Cristina and Casanovas-Garcia, Josep (2010) Performance analysis of parallel demographic simulation. 24th Annual European Simulation and Modelling Conference, ESM 2010, , Hasselt, Belgium. 24 - 26 Oct 2010. pp. 142-148 .

Record type: Conference or Workshop Item (Paper)

Abstract

Today, we have seen an increase in the number of papers on parallel simulation applications outside the traditional military and network simulations areas, such as in the physical science and management science. One of the new areas in which parallel simulation could be used is demography, specifically for population projection. In this paper, we report the performance evaluation results of a parallel demographic simulation tool called Yades. We investigate the effect of three factors: unbalanced workload, heterogeneous processing speed and heterogeneous communication latency on performance measures such as: time spent in executing useful events, time spent for overhead and the number of rollbacks. The results are consistent with what has been reported in other application areas of parallel simulation. Since the application in demography is new, it is useful to quantify the effect of the three factors on performance.

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More information

Published date: 1 January 2010
Venue - Dates: 24th Annual European Simulation and Modelling Conference, ESM 2010, , Hasselt, Belgium, 2010-10-24 - 2010-10-26
Keywords: Demographic simulation, Parallel simulation, Performance analysis, Simulation tool

Identifiers

Local EPrints ID: 433747
URI: http://eprints.soton.ac.uk/id/eprint/433747
PURE UUID: 061a2136-1140-41d3-a168-6b094db5c8a3
ORCID for Bhakti S.S. Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 03 Sep 2019 16:30
Last modified: 08 Jan 2022 03:38

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Contributors

Author: Cristina Montanola-Sales
Author: Josep Casanovas-Garcia

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