Assessing the feasibility of OpenCL CPU implementations for agent-based simulations

Miniatura indisponível

Data

2017-05

Título da revista

ISSN da revista

Título do Volume

Editora

AGENT-BASED MODELING

Resumo

Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as a self-determining agent. Large scale emergent behavior in ABMs is population sensitive. As such, it is advisable that the number of agents in a simulation is able to reflect the reality of the system being modeled. This means that in domains such as social modeling, ecology, and biology, systems can contain millions or billions of individuals. Such large scale simulations are only feasible in non-distributed scenarios when the computational power of commodity processors, such as GPUs and multi-core CPUs, is fully exploited. In this paper we evaluate the feasibility of using CPU-oriented OpenCL for high-performance simulations of agent-based models. We compare a CPU-oriented OpenCL implementation of a reference ABM against a parallel Java version of the same model. We show that there are considerable gains in using CPU-based OpenCL for developing and implementing ABMs, with speedups up to 10x over the parallel Java version on a 10-core hyper-threaded CPU.

Descrição

IWOCL 2017: Proceedings of the 5th International Workshop on OpenCL

Palavras-chave

MODELAÇÃO BASEADA EM AGENTES, OPENCL, COMPUTAÇÃO DE ALTO DESEMPENHO, OPENCL, HIGH-PERFORMANCE COMPUTING

Citação

Fachada , N & Rosa , A C 2017 , ' Assessing the feasibility of OpenCL CPU implementations for agent-based simulations ' , Paper presented at AGENT-BASED MODELING , 1/05/17 .

URI