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In the domain of computer security, how to enhance the speed of RSA algorithm has been the research hot spot. With the recent tremendous increase in Graphics Processing Unit's computing capability as a co-processor of the CPU, Nvidia's Compute Unified Device Architecture (CUDA) can greatly benefit single instruction multiple thread styled, computationally expensive programs. This paper presents a...
This paper describes our novel work of using GPUs to improve the performance of a homography-based visual servo system. We present our novel implementations of a GPU based Efficient Second-order Minimization (GPU-ESM) algorithm. By utilizing the tremendous parallel processing capability of a GPU, we have obtained significant acceleration over its CPU counterpart. Currently our GPU-ESM algorithm can...
The Compute Unified Device Architecture (CUDA) is a new programming platform making use of the unified shader design of the most current Graphics Processing Units (GPUs) from NVIDIA. In this paper, we apply this revolutionary new technology to implement the automatic time gain compensation (ATGC) for medical ultrasound imaging. The parallel box filtering method and general matrix computation algorithms...
This work presents an implementation of neocognitron neural network, using a high performance computing architecture based on GPU (graphics processing unit). Neocognitron is an artificial neural network, proposed by Fukushima and collaborators, constituted of several hierarchical stages of neuron layers, organized in two-dimensional matrices called cellular planes. For the high performance computation...
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