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This article describes logical analysis infrastructure of associative tables (matrices), which enables to perform processing the interaction of the input vector with n-dimensional algebra-logical space, specified by using the ordered and structured tables of problem-oriented data, which represent the associative behavioral models of logical objects. To estimate the interaction of vectors in algebra-logical...
This article discussed about modeling of uCOS real time operation system kernel which is widely used in embedded system field based on CSP, describing the behavior of uCOS from the higher abstract layer, to help us understand how uCOS working better, also provide foundation of further working on uCOS includes model checking and soundness verification on uCOS. This article focused on the task scheduling...
NVIDIA CUDA and ATI Stream are the two major general-purpose GPU (GPGPU) computing technologies. We implemented RankBoost, a web relevance ranking algorithm, on both NVIDIA CUDA and ATI Stream platforms to accelerate the algorithm and illustrate the differences between these two technologies. It shows that the performances of GPU programs are highly dependent on the utilization of GPU's hardware memory...
Suffix array is a simpler and compact alternative to the suffix tree, lexicographic name construction is the fundamental building block in suffix array construction process. This paper depicts the design issues of first data parallel implementation of the lexicographic name construction algorithm on a commodity multiprocessor GPU using the Compute Unified Device Architecture (CUDA) platform, both...
Counting sort is a simple, stable and efficient sort algorithm with linear running time, which is a fundamental building block for many applications. This paper depicts the design issues of a data parallel implementation of the count sort algorithm on a commodity multiprocessor GPU using the Compute Unified Device Architecture (CUDA) platform, both from NVIDIA Corporation. The full parallel version...
Solving complex convection-diffusion equations is very important to many practical mathematical and physical problems. After the finite difference discretization, most of the time for equations solution is spent on sparse linear equation solvers. In this paper, our goal is to solve 2D Nonlinear Unsteady Convection-Diffusion Equations by accelerating an iterative algorithm named Jacobi-preconditioned...
In this paper, we present a current mode CMOS image sensor with programmable convolution kernels consuming 35 mW of power and operating at 30 frames per second. The image sensor is composed of a 128 by 109 pixel array, digital scanning registers, and a programmable analog processing unit. Convolution of the image is performed on the read-out in the periphery of the image array using digitally programmable...
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