The 4th Workshop on Parallel and Distributed Agent-Based Simulations (PADABS) is a satellite Workshop of Euro-Par 2016 (Grenoble, France, 22-26 August 2016).

Agent-Based Simulation Models are an increasingly popular tool for research and management in many fields such as ecology, economics, sociology, etc.. In some fields, such as social sciences, these models are seen as a key instrument to the generative approach, essential for understanding complex social phenomena. But also in policy-making, biology, military simulations, control of mobile robots and economics, the relevance and effectiveness of Agent-Based Simulation Models is recently recognized. Computer science community has responded to the need for platforms that can help the development and testing of new models in each specific field by providing tools, libraries and frameworks that speed up and make massive simulations. The key objective of this workshop is to bring together the researchers that are interested in getting more performances from their simulations, by using: synchronized, many-core simulations (e.g., GPUs), strongly coupled, parallel simulations (e.g. MPI) loosely coupled, distributed simulations (distributed heterogeneous setting). (continues on the Call for Papers... )

The PADABS community forms the working committee for the benchmarking of multi agent models via OpenAB.

Importants Dates (Timeline)

  • Workshop papers due: May 6, 2016 May 25, 2016 
  • Workshop authors notification: June 17, 2016
  • Workshop camera-ready papers due: October 3, 2016


Vittorio Scarano (chair)
Gennaro Cordasco 
Paul Richmond
Carmine Spagnuolo

Organization and support by ..

Dipartimento di Informatica, 
Università degli Studi di Salerno - Italy


  • Program 2016
    Posted Jul 7, 2016, 7:18 AM by ISISLab UniSa
  • The call for papers of workshop PADABS 2016 is available. Call for Papers page. TXT PDF PNG
    Posted Feb 22, 2016, 7:34 AM by ISISLab UniSa
  • Workshop presentations available Downloads in program section.
    Posted Sep 1, 2015, 12:33 AM by ISISLab UniSa
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