11342
Fan Wang, Xiao Jiang, Xiopeng Hu
This paper presents a parallel TBB-CUDA implementation for the acceleration single-Gaussian distribution model, which is effective for background removal in the video-based Fire Detection System. In this framework, TBB mainly deals with initializing work of the estimated Gaussian model running on CPU, and CUDA performs background removal and adaption of the model running on GPU. […]
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Li Tang, Yiji Zhang
Graphics processing units (GPU) have been intensively used by high-performance computing applications. However, GPU’s large power consumption is a big issue coexisting with the high parallelism. Although Dynamic Voltage and Frequency Scaling (DVFS) [1] has been heavily studied and successfully applied to real products for saving CPU power consumption, DVFS is still relatively new for […]
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M.G.B. Johnson, D.P. Playne and K.A. Hawick
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns around complex obstacles. Symmetry requirements inherent in the Navier-Stokes equation mandate that lattice-gas approximations to the full field equations be run on triangular lattices in two dimensions and on […]
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