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In traditional link level simulation, multiple-input and multiple-output (MIMO) channel model is one of the most time-consuming modules. When using more realistic geometry-based channel models, it consumes more time. In this paper, we propose an efficient simulator implementation of geometry-based spatial channel model (SCM) on graphics processing unit (GPU). We first analyze the potential parallelism...
Stochastic Rotation Dynamics (SRD) is a novel particle-based simulation method that can be used to model complex fluids [1], [2], such as binary and ternary mixtures [3], and polymer solutions [4]-[6], in either two or three dimensions. Although SRD is efficient compared to traditional methods, it is still computationally expensive for large system sizes, e.g. when using a large array of particles...
A novel GPU-based simulation of spiking neural networks is implemented as a hybrid system using Parker-Sochacki numerical integration method with adaptive order. Full single-precision floating-point accuracy for all model variables is achieved. The implementation is validated with exact matching of all neuron potential traces from GPU-based simulation versus those of a reference CPU-based simulation...
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