@article{fdi:010068858,
  title = {{MCMAS} : a toolkit for developing agent-based simulations on many-core architectures},
  author = {{L}aville, {G}. and {L}ang, {C}. and {H}errmann, {B}. and {P}hilippe, {L}. and {M}azouzi, {K}. and {M}arilleau, {N}icolas},
  editor = {},
  language = {{ENG}},
  abstract = {{M}ulti-agent models and simulations are used to describe complex systems in domains such as biological, geographical or ecological sciences. {T}he increasing model complexity results in a growing need for computing resources and motivates the use of new architectures such as multi-cores and many-cores. {U}sing them efficiently however remains a challenge in many models as it requires adaptations tailored to each program, using low-level code and libraries. {I}n this paper we present {MCMAS} a generic toolkit allowing an efficient use of many-core architectures through already defined data structures and kernels. {T}he toolkit provides few famous algorithms as diffusion, path-finding or population dynamics that are frequently used in an agent based models. {F}or further needs, {MCMAS} is based on a flexible architecture that can easily be enriched by new algorithms thanks to development features. {T}he use of the library is illustrated with three models and their performance analysis.},
  keywords = {{M}ulti-agent systems ; parallel computing ; {GPGPU} ; many-core},
  booktitle = {},
  journal = {{M}ultiagent and {G}rid {S}ystems},
  volume = {11},
  numero = {1},
  pages = {15--31},
  ISSN = {1574-1702},
  year = {2015},
  DOI = {10.3233/mgs-150227},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068858},
}