Green High Performance Simulation for AMB models of Aedes aegypti

The increase in temperature caused by the climate change has resulted in the rapid dissemination of infectious diseases. Given the alert for the current situation, the World Health Organization (WHO) has declared a state of health emergency, highlighting the severity of the situation in some countri...

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Autores principales: Montes de Oca, Erica Soledad, Suppi, Remo, De Giusti, Laura Cristina, Naiouf, Marcelo
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
GPU
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/97193
Aporte de:
id I19-R120-10915-97193
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Aedes aegypti
GPU
Green Computing
ABM models
High Performance Simulation
spellingShingle Ciencias Informáticas
Aedes aegypti
GPU
Green Computing
ABM models
High Performance Simulation
Montes de Oca, Erica Soledad
Suppi, Remo
De Giusti, Laura Cristina
Naiouf, Marcelo
Green High Performance Simulation for AMB models of Aedes aegypti
topic_facet Ciencias Informáticas
Aedes aegypti
GPU
Green Computing
ABM models
High Performance Simulation
description The increase in temperature caused by the climate change has resulted in the rapid dissemination of infectious diseases. Given the alert for the current situation, the World Health Organization (WHO) has declared a state of health emergency, highlighting the severity of the situation in some countries. For this reason, coming up with knowledge and tools that can help control and eradicate the vectors propagating these diseases is of the utmost importance. Highperformance modeling and simulation can be used to produce knowledge and strategies that allow predicting infections, guiding actions and/or training health/civil protection agents. The model developed as part of this research work is aimed at assisting the decision-making process for disease prevention and control, as well as evaluating the reproduction and predicting the evolution of the Aedes aegypti mosquito, which is the transmitting vector of the dengue, Zika and chikungunya diseases. Decisionmaking based on these models requires a large number of simulations to achieve results with statistical variability. The objective of this paper is to demonstrate that the GPU is a suitable platform from the point of view of the reduction of energy consumed for HPC simulations. It is also shown that it is possible to define energy prediction models that allow scientists to plan their experiments based on energy consumption and select those that are representative for decision making by reducing energy consumption in HPC simulations.
format Articulo
Articulo
author Montes de Oca, Erica Soledad
Suppi, Remo
De Giusti, Laura Cristina
Naiouf, Marcelo
author_facet Montes de Oca, Erica Soledad
Suppi, Remo
De Giusti, Laura Cristina
Naiouf, Marcelo
author_sort Montes de Oca, Erica Soledad
title Green High Performance Simulation for AMB models of Aedes aegypti
title_short Green High Performance Simulation for AMB models of Aedes aegypti
title_full Green High Performance Simulation for AMB models of Aedes aegypti
title_fullStr Green High Performance Simulation for AMB models of Aedes aegypti
title_full_unstemmed Green High Performance Simulation for AMB models of Aedes aegypti
title_sort green high performance simulation for amb models of aedes aegypti
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/97193
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