Parallel Programming with CUDA for RoboCup Rescue Simulation

Parallel Programming with CUDA for RoboCup Rescue Simulation

The RoboCup Rescue Agent Simulation League (RSL) is a challenging competition to test multi-agent planning methods for disaster mitigation. The simulator creates a disaster scenario with three main tasks for the agents; firefighting, removing blockades on the road, and taking civilians to the refugees. Currently, the simulator operates on a small map of the cities. The whole simulator is designed to run sub-simulators (such as fire simulator and traffic simulator) in a distributed fashion over TCP/IP.

The aim of this project is to parallelize algorithms of sub-simulators using CUDA and JCuda SDK. The following tasks are to be carried out to realize this project.

  • The analysis of sub-simulators to identify the opportunities to parallelize the algorithms. (For example, fire propagation can be calculated independently for every cell/buildings on the map)

  • The implementation of JCuda algorithms for sub-simulators.

  • The evaluation of the developed algorithms. (The detailed experimental analysis of the performance increase)

For further information

Notes

  • You will need a laptop/desktop computer having CUDA-enabled GPU.

  • The project will be implemented mainly using Java programming language, but you might also implement the C/C++ CUDA kernel.

 

Project Advisor: 

H. Levent Akın

Project Status: 

Project Year: 

2017

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461
 

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