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We address the computationally demanding task of real time optimal detection of a Gaussian Signal in Gaussian Noise. The mathematical principles of such a detector were formulated in 1965, but a full real-time implementation of these principles was not possible for decades mainly due to technological barriers. We present a CUDA based implementation of such an optimal detector and study its decision...
This paper proposes an efficient implementation for the Particle Swarm Optimization (PSO) algorithm using the shared memory available in the Graphic Processing Units (GPU) of CUDA (Compute Unified Device Architecture) platforms. In our proposal each dimension of each particle is mapped as a thread. The threads are executed in parallel within a GPU block. Since the GPU blocks present a maximum number...
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