Graphics processing units (GPUs) are powerful devices capable of rapid parallel computation, but using them for general computing tasks can be a difficult and tedious endeavor. We have created a graphical language called Chestnut that simplifies the process of programming on the GPU. The graphical environment is supported by a readable backend language that can be translated into GPU-ready code...

The GPU, as a data-parallel processor architecture, needs an independent-data (parallelizable) processing model in order to provide the best performance. One of the most popular methods for visual tracking is the Particle Filter (PF) algorithm. The PF algorithm enables the modeling of a stochastic process with an arbitrary probability density function by approximating it numerically with a weig...

The arrival of graphics processing (GPU) cards suitable for massively parallel computing promises affordable large-scale neural network simulation previously only available at supercomputing facilities. While the raw numbers suggest that GPUs may outperform CPUs by at least an order of magnitude, the challenge is to develop fine-grained parallel algorithms to fully exploit the particulars of GP...

In this paper a new, efficient method for dynamic simulation on the GPU is presented. The method is based on an impulse-based approach which is an ideal candidate to simulate on limited hardware due to its simplicity. The proposed method shows how the impulse-based dynamic simulation can benefit from the highly parallel structure of the GPU without suffering too much losses by its limitations. ...

In this paper we present how Cellular Automata model can be implemented for processing on Graphics Processing Unit (GPU). Recently, graphics processors have gained a lot of interest as an efficient architecture for general-purpose computation. Cellular Automata algorithms that are inherently parallel give the opportunity to achieve very high efficiency when they are implemented on GPUs. We demo...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...

Takagi factorization or symmetric singular value decomposition is a special form of SVD applicable to symmetric complex matrices. The computation takes advantage of symmetry to reduce computation and storage requirements. The Jacobi method with chess tournament ordering was used to perform the computation in parallel on a GPU using the CUDA programming model. We were able to achieve speedups of...

In this paper, we propose a fast depth image based rendering method to generate a virtual view image in real-time using a graphic processor unit (GPU) for a 3D broadcasting system. Simple and efficient hole filling method is performed to reduce complexity and prevent hole filling error. Also, we designed a vertical parallel structure for a forward mapping process to take advantage of the single...