PROGRAMMING AGENT-BASED DEMOGRAPHIC MODELS WITH CROSS-STATE AND MESSAGE-EXCHANGE DEPENDENCIES: A STUDY WITH SPECULATIVE PDES AND AUTOMATIC LOAD-SHARING

被引：0

作者：

Pellegrini, Alessandro ^{[1
]}

Quaglia, Francesco ^{[1
]}

Montanola-Sales, Cristina ^{[2
]}

Casanovas-Garcia, Josep ^{[2
]}

机构：

[1] Sapienza Univ Rome, Dept Comp Control & Management Engn, Rome, Italy

[2] Univ Politcn Catalunya, BarcelonaTech, Barcelona Supercomp Ctr, InLab FIB,Barcelona Sch Informat, Barcelona 08034, Spain

来源：

2016 WINTER SIMULATION CONFERENCE (WSC) | 2016年

关键词：

SIMULATION; MIGRATION;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Agent-based modeling and simulation is a versatile and promising methodology to capture complex interactions among entities and their surrounding environment. A great advantage is its ability to model phenomena at a macro scale by exploiting simpler descriptions at a micro level. It has been proven effective in many fields, and it is rapidly becoming a de-facto standard in the study of population dynamics. In this article we study programmability and performance aspects of the last-generation ROOT-Sim speculative PDES environment for multi/many-core shared-memory architectures. ROOT-Sim transparently offers a programming model where interactions can be based on both explicit message passing and in-place state accesses. We introduce programming guidelines for systematic exploitation of these facilities in agent-based simulations, and we study the effects on performance of an innovative load-sharing policy targeting these types of dependencies. An experimental assessment with synthetic and real-world applications is provided, to assess the validity of our proposal.

引用

页码：955 / 966

页数：12