GPU Delegation: Toward a Generic Approach For Developing MABS using GPU Programming GPU delegation for MABS

Emmanuel Hermellin 1 Fabien Michel 1
1 SMILE - Système Multi-agent, Interaction, Langage, Evolution
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Objective Considering the use of GPGPU for developing MABS, the conclusion of Perumalla and Aaby's work (P&A) in 2008 was twofold: (1) Data parallel execution capabilities of GPU can afford excellent speedup on MABS models; (2) But this comes at the expense of modularity, accessibility and reusability. Objective: Check if the conclusions outlined by Perumalla and Aaby are still true despite the evolution of GPGPU and MABS. Method: Applying GPU delegation on four models to compare CPU and GPU implementations and analyze the results from both a conceptual and a performance point of view.
Type de document :
Poster
AAMAS: Autonomous Agents and Multiagent Systems, May 2016, Singapour, Singapore. 〈https://sis.smu.edu.sg/aamas2016〉
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Emmanuel Hermellin, Fabien Michel. GPU Delegation: Toward a Generic Approach For Developing MABS using GPU Programming GPU delegation for MABS. AAMAS: Autonomous Agents and Multiagent Systems, May 2016, Singapour, Singapore. 〈https://sis.smu.edu.sg/aamas2016〉. 〈lirmm-01519194〉

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