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Task-Based Crowd Simulation for Heterogeneous Architectures

Task-Based Crowd Simulation for Heterogeneous Architectures
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Author(s): Hugo Perez (Barcelona Supercomputing Center, Spain), Benjamin Hernandez (Oak Ridge National Laboratory, USA), Isaac Rudomin (Barcelona Supercomputing Center, Spain)and Eduard Ayguade (Barcelona Supercomputing Center, Spain)
Copyright: 2016
Pages: 26
Source title: Innovative Research and Applications in Next-Generation High Performance Computing
Source Author(s)/Editor(s): Qusay F. Hassan (Mansoura University, Egypt)
DOI: 10.4018/978-1-5225-0287-6.ch008

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Abstract

Industry trends in the coming years imply the availability of cluster computing with hundreds to thousands of cores per chip, as well as the use of accelerators. Programming presents a challenge due to this heterogeneous architecture; thus, using novel programming models that facilitate this process is necessary. In this chapter, the case of simulation and visualization of crowds is presented. The authors analyze and compare the use of two programming models: OmpSs and CUDA. OmpSs allows to take advantage of all the resources available per node by combining the CPU and GPU while automatically taking care of memory management, scheduling, communications and synchronization. Experimental results obtained from Fermi, Kepler and Maxwell GPU architectures are presented, and the different modes used for visualizing the results are described, as well.

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