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- W2014778103 abstract "Today's graphics processing units (GPU) have tremendous resources when it comes to raw computing power. The simulation of large groups of agents in transport simulation has a huge demand of computation time. Therefore it seems reasonable to try to harvest this computing power for traffic simulation. Unfortunately simulating a network of traffic is inherently connected with random memory access. This is not a domain that the SIMD (single instruction, multiple data) architecture of GPUs is known to work well with. In this paper the authors will try to achieve a speedup by computing multi-agent traffic simulations on the graphics device using NVIDIAs CUDA framework." @default.
- W2014778103 created "2016-06-24" @default.
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- W2014778103 date "2009-01-01" @default.
- W2014778103 modified "2023-10-03" @default.
- W2014778103 title "Using common graphics hardware for multi-agent traffic simulation with CUDA" @default.
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- W2014778103 doi "https://doi.org/10.4108/icst.simutools2009.5666" @default.
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