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Our work describes the simulation of a planar network of spiking I/F neurons on graphics processing hardware. The described approach adds to the fast-growing field of general-purpose computation on GPUs (GPGPU). We provide an in-depth explanation of the steps involved in implementing the network using programmable shading hardware. We replicated simulation results by Hopfield et al. and Maida et al...
Visualization, interaction, and simulation (VIS) constitute a class of applications that is growing in importance. This class includes applications such as graphics rendering, video encoding, simulation, and computer vision. These applications are ideally suited for accelerators because of their parallelizability and demand for high throughput. We compile a benchmark suite, VIS- Bench, to serve as...
Spatial-lattice computations with finite-range interactions are an important class of easily parallelized computations. This class includes many simple and direct algorithms for physical simulation, virtual-reality simulation, agent-based modeling, logic simulation, 2D and 3D image processing and rendering, and other volumetric data processing tasks. The range of applicability of such algorithms is...
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