Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22945
Title: A High Performance, Agent-Based Simulation of Old World Screwworm Fly Lifecycle and Dispersal using a Graphics Processing Unit (GPU) Platform
Contributor(s): Welch, Mitchell  (author)orcid ; Kwan, Paul Sajeev, A S M
Publication Date: 2013
Open Access: Yes
Handle Link: https://hdl.handle.net/1959.11/22945
Open Access Link: https://www.mssanz.org.au/modsim2013/C4/welch.pdfOpen Access Link
Abstract: The Old World Screwworm Fly (OWSWF), Chrysomya bezziana, is an insect pest that is endemic to the tropical regions of Asia, the Middle East and Africa. The insect reproduces by laying its eggs in open wounds and mucus membranes of warm blooded mammals. Upon the hatching, the OWSWF larvae eat the living flesh of the host animal, causing injury, secondary infections and in extreme cases death. If this pest was introduced to the Australian mainland, it could have a devastating impact on the livestock industries within the northern regions of Australia. This work builds upon the existing research surrounding the OWSWF biological lifecycle and dispersal characteristics by developing a national-scale, high-resolution, agent-based model capable of simulating an invasion of Australia by the OWSWF. The challenge in designing large scale high-resolution models to run on personal computers is addressing performance issues. We face this challenge by making use of Graphics Processing Unit (GPU) technologies, based around NVidia's Compute Unified Device Architecture (CUDA), to simulate the lifecycle and dispersal of the OWSWF at the individual insect and cohort levels. This model combines agent-based logic, for simulating the OWSWF's lifecycle, with an efficient cellular-automata system to capture the spatial aspects of the OWSWF population's dispersal during a simulated invasion. The lifecycle and dispersal simulation is supported by an efficient system of main memory management which integrates bio-climatic data from a standard database management system for use within the model. The scheme adopted breaks this agent logic down into GPU-based functions, known as kernels, and uses the well-developed heterogeneous programming approach to distribute processing tasks between the Central Processing Unit (CPU) of the host machine and the CUDA device. Analysis of the performance of the CUDA implementation reveals significant improvement in execution time when compared to an equivalent CPU-only based implementation, with results showing that the CUDA implementation's processing efficiency scales up well as the number of agents within the simulation increase.
Publication Type: Conference Publication
Conference Name: 20th International Congress on Modelling and Simulation
Conference Details: 20th International Congress on Modelling and Simulation, Adelaide, Australia, 1st - 6th December, 2013
Source of Publication: MODSIM 2013: 20th International Congress on Modelling and Simulation - Adapting to change: the multiple roles of modelling, p. 782-788
Publisher: Modelling and Simulation Society of Australia and New Zealand
Place of Publication: Adelaide, Australia
Field of Research (FOR): 070205 Animal Protection (Pests and Pathogens)
080301 Bioinformatics Software
080304 Concurrent Programming
Socio-Economic Outcome Codes: 830311 Sheep - Wool
830310 Sheep - Meat
830301 Beef Cattle
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.mssanz.org.au/modsim2013/
Statistics to Oct 2018: Visitors: 12
Views: 24
Downloads: 5
Appears in Collections:Conference Publication
School of Science and Technology

Files in This Item:
5 files
File Description SizeFormat 
Show full item record

Page view(s)

134
checked on Apr 24, 2019
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.