Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case

Simulations of agent-based models developed for topics of learning and inductive reasoning in artificial intelligence, social behavior, decision making, etc., are progressively requiring higher power processes while they increase their participation as management and political decisions support. In...

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Detalles Bibliográficos
Autores principales: Montiel, Santiago, Guala, Sebastian
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
HPC
minority game
ARTIFICIAL INTELLIGENCE
simulations of complex system
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42387
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-42387
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
HPC
minority game
ARTIFICIAL INTELLIGENCE
simulations of complex system
spellingShingle Ciencias Informáticas
HPC
minority game
ARTIFICIAL INTELLIGENCE
simulations of complex system
Montiel, Santiago
Guala, Sebastian
Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case
topic_facet Ciencias Informáticas
HPC
minority game
ARTIFICIAL INTELLIGENCE
simulations of complex system
description Simulations of agent-based models developed for topics of learning and inductive reasoning in artificial intelligence, social behavior, decision making, etc., are progressively requiring higher power processes while they increase their participation as management and political decisions support. In this work we develop the implementation of the Minority Game Model for HPC platforms in order to analyze the performance of simulations related to contexts of agent-based models for large scales. We compare times to parallel and sequential processes for several instances and get the corresponding speedup. For this work we use the MPI system with a hardware configuration of Master-Worker (Slave) paradigm with a cluster of upto 10 processors as workers. In order to improve efficiency, we evaluate performances for several sizes of clusters varying the size of the instances of the problem and detect optimum configurations for some instances of simulation.
format Objeto de conferencia
Objeto de conferencia
author Montiel, Santiago
Guala, Sebastian
author_facet Montiel, Santiago
Guala, Sebastian
author_sort Montiel, Santiago
title Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case
title_short Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case
title_full Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case
title_fullStr Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case
title_full_unstemmed Performance Evaluation of Parallel Computing on Agent-Based Models: The Minority Game Case
title_sort performance evaluation of parallel computing on agent-based models: the minority game case
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42387
work_keys_str_mv AT montielsantiago performanceevaluationofparallelcomputingonagentbasedmodelstheminoritygamecase
AT gualasebastian performanceevaluationofparallelcomputingonagentbasedmodelstheminoritygamecase
bdutipo_str Repositorios
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