High-performance computing tools for modeling evolution in epidemics

Maniatty, William; Szymański, Bolesław K.; Caraco, Thomas

doi:10.1109/hicss.1999.773085

Cited by 5 publications

(4 citation statements)

References 19 publications

(14 reference statements)

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“…In our experiments, between one and four OpenMP threads were allocated to compute simulation runs. Figure 5 shows that the execution times decrease for a given § The value R = 512 is used because of the simplicity to distribute 2 9 replicates on 2 n processors with n ≤ 9. Figure 5.…”

Section: Hybrid Openmp/mpi Parallelizationmentioning

confidence: 99%

“…Generally, a spatial decomposition is carried out. In multi-agent systems, the space domain of agent interactions is distributed over processors [8,9]. For a cellular automatonbased algorithm, the lattice is split among processors [7].…”

Section: Multilevel Parallelism For Stochastic Simulationsmentioning

confidence: 99%

“…Stochastic simulations reproduce elementary processes and often lead to prohibitive computations. Hence, parallel machines were used to model complex systems [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host–parasite system

Langlais

Latu

Roman

et al. 2003

Concurrency and Computation

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International audienceWe are interested in a host-parasite system, i.e. the sea bass-Diplectanum aequans system. A discrete mathematical model is used to describe the dynamics of both populations. Our goal is notably to validate the model in the context of aquaculture. A deterministic numerical simulator and, recently, a stochastic simulator were developed to study this biological system. Parallelization is required because the execution times are too long. The Monte Carlo algorithm of the stochastic simulator and its three levels of parallelism are described. Analysis and performances, up to 256 processors, of a hybrid MPI/OpenMP code are then presented for a cluster of symmetric multi-processor (SMP) nodes. Qualitative results are given for the host-macroparasite system simulation

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Section: Hybrid Openmp/mpi Parallelizationmentioning

confidence: 99%

Section: Multilevel Parallelism For Stochastic Simulationsmentioning

confidence: 99%

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Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host–parasite system

Langlais

Latu

Roman

et al. 2003

Concurrency and Computation

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“…Most current causeways do not allow for individual differences and do not consider the complicated boundary and start up conditions. Cellular automata (CA) modeling techniques can overcome the aforementioned drawbacks and have been employed as an alternate method of epidemics modelling by various savants [11], [12]. CA as well prove to be a better alternative of usage under specific boundary and preliminary conditions in solving the scientific problems associated to partial differential equations [13].…”

Section: Introductionmentioning

confidence: 99%

Computer modeling and simulation to predict COVID-19 propagation patterns via factual cellular automata

Al-Tabbakh

Karim

2022

IJEECS

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Computer modelling and simulation methods are very important and play a critical role in the mitigation and response to the ongoing COVID-19 pandemic. In this study, we propose a computational modeling technique based on Cellular Automata (CA) with realistic proposed rules. The rules are designed to simulate the propagation of COVID-19 disease through a bounded area. Our proposed CA rules are novel in many respects. For on, the classification of neighbors to nearest neighbors and range of neighbors based on cellular layers is explained. Moreover, the concepts of time generation and access time are deployed for the first time to model the propagation of the disease over time in this work. Further details of the proposed model including the topology of the defined area, the initial states of the cells and four-layer transfer mechanism are explained as well. This work may be considered a criterion of spreading for COVID-19 from point source in a defined population area. The results of the proposed algorithm represent the percentage of the population whose infectious status is described by different cellular state objects after a defined generation time. The results are compared under different circumstances and analyzed equanimity.

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A cellular automaton model for the effects of population movement and vaccination on epidemic propagation

Sirakoulis¹,

Karafyllidis²,

Thanailakis³

2000

Ecological Modelling

206

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High-performance computing tools for modeling evolution in epidemics

Cited by 5 publications

References 19 publications

Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host–parasite system

Performance analysis and qualitative results of an efficient parallel stochastic simulator for a marine host–parasite system

Computer modeling and simulation to predict COVID-19 propagation patterns via factual cellular automata

A cellular automaton model for the effects of population movement and vaccination on epidemic propagation

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