Publication: Toward GPU-accelerated Traffic Simulation and Its Real-Time Challenge
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2012-12-04
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Universidad Carlos III de Madrid
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Abstract
Traffic simulation is a growing domain of computational
physics. Many life and industrial applications would benefit
from traffic simulation to establish reliable transportation
systems. A core challenge of this science research, however,
is its unbounded scale of computation. This paper explores
an advantage of using the graphics processing unit (GPU)
for this computational challenge. We study two schemes of
maximizing GPU performance in the context of traffic simulation,
and provide some basic experiments. The experimental
results show that our GPU implementation improves
simulation speed by five times over the traditional CPU implementation.
We also discuss that additional orders-ofmagnitude
improvements could be achieved by overcoming
the current hardware limitation of the GPU.
Description
REACTION 2012. 1st International workshop on Real-time and distributed computing in emerging applications. December 4th, 2012, San Juan, Puerto Rico.
Keywords
GPU scheduling, Traffic simulation, Real-time
Bibliographic citation
REACTION 2012, co-located with IEEE RTSS. San Juan, Puerto Rico. December 4th, 2012. Universidad Carlos III de Madrid, 2012, pp. 45-50