Efficient Agent-Based Simulations Using the Sender Asynchronous Programming Model DOI Open Access

Pablo A. S. Hugen,

Guilherme Galante

Published: Oct. 23, 2024

This paper develops and evaluates an Agent-Based Model (ABM) simulator for disease transmission using the C++ Sender Programming Model. The asynchronous approach with is, on average, 2.61 times faster than synchronous methods, enhancing performance while preserving cross-platform compatibility. research offers a valuable alternative simulating complex epidemiological scenarios, advancing computational epidemiology by optimizing both portability. Future work will focus improving memory management validating model across different hardware configurations population densities.

Language: Английский

flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic DOI Creative Commons
Joseph C. Lemaitre, Sara L. Loo, Joshua Kaminsky

et al.

Epidemics, Journal Year: 2024, Volume and Issue: 47, P. 100753 - 100753

Published: March 2, 2024

The COVID-19 pandemic led to an unprecedented demand for projections of disease burden and healthcare utilization under scenarios ranging from unmitigated spread strict social distancing policies. In response, members the Johns Hopkins Infectious Disease Dynamics Group developed flepiMoP (formerly called COVID Scenario Modeling Pipeline), a comprehensive open-source software pipeline designed creating simulating compartmental models infectious transmission inferring parameters through these models. framework has been used extensively produce short-term forecasts longer-term scenario at state county level in US, other countries various geographic scales, more recently seasonal influenza. this paper, we highlight how evolved throughout address changing epidemiological dynamics, new interventions, shifts policy-relevant model outputs. As reached mature state, provide detailed overview flepiMoP's key features remaining limitations, thereby distributing its documentation as flexible powerful tool researchers public health professionals rapidly build deploy large-scale complex any pathogen demographic setup.

Language: Английский

Citations

4
Role of heterogeneity: National scale data-driven agent-based modeling for the US COVID-19 Scenario Modeling Hub DOI Creative Commons
Jiangzhuo Chen, Parantapa Bhattacharya, Stefan Hoops

et al.

Epidemics, Journal Year: 2024, Volume and Issue: 48, P. 100779 - 100779

Published: June 28, 2024

UVA-EpiHiper is a national scale agent-based model to support the US COVID-19 Scenario Modeling Hub (SMH). uses detailed representation of underlying social contact network along with data measured during course pandemic initialize and calibrate model. In this paper, we study role heterogeneity on complexity resulting epidemic dynamics using UVA-EpiHiper. We discuss various sources that encounter in use modeling analysis under scenarios. also how affects computational corresponding simulations. Using round 13 SMH as an example, was initialized calibrated. then output produced by can be analyzed obtain interesting insights. find despite model, software, computation incurred scenario modeling, it capable capturing heterogeneities real-world systems, especially those networks behaviors, enables analyzing epidemiological outcomes between different demographic, geographic, cohorts. applying disease are within states, demographic groups, which attributed population demographics, structures, initial immunity.

Language: Английский

Citations

2
Profiling and Bottlenecks Analysis of an Agent-based Dengue Fever Simulation Model DOI Open Access

Pablo A. S. Hugen,

Guilherme Galante, Rogério Luís Rizzi

et al.

Published: April 19, 2024

Agent-Based Model simulations plays a critical role in computational epidemiology, usually employing GPU aceleration to account for large scale scenarios. In this work, we profile and analyze an agent based model dengue fever disease spreading simulation as part of bachelor thesis find bottlenecks performance issues. We have discovered bottleneck two the kernels, inefficient host-to-device memory transfers. The use unified architecture also running more kernels parallel using ISO C++17 Parallelism are proposed future solutions these challenges.

Language: Английский

Citations

0
Preface: COVID-19 Scenario Modeling Hubs DOI Creative Commons
Sara L. Loo, Matteo Chinazzi, Ajitesh Srivastava

et al.

Epidemics, Journal Year: 2024, Volume and Issue: 48, P. 100788 - 100788

Published: Aug. 24, 2024

Language: Английский

Citations

0
Efficient Agent-Based Simulations Using the Sender Asynchronous Programming Model DOI Open Access

Pablo A. S. Hugen,

Guilherme Galante

Published: Oct. 23, 2024

This paper develops and evaluates an Agent-Based Model (ABM) simulator for disease transmission using the C++ Sender Programming Model. The asynchronous approach with is, on average, 2.61 times faster than synchronous methods, enhancing performance while preserving cross-platform compatibility. research offers a valuable alternative simulating complex epidemiological scenarios, advancing computational epidemiology by optimizing both portability. Future work will focus improving memory management validating model across different hardware configurations population densities.

Language: Английский

Citations

0