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Jun, 1

CUDA Accelerated LTL Model Checking

Recent technological developments made available various many-core hardware platforms. For example, a SIMD-like hardware architecture became easily accessible for many users who have their computers equipped with modern NVIDIA GPU cards with CUDA technology. In this paper we redesign the maximal accepting predecessors algorithm for LTL model checking in terms of matrix-vector product in order […]
Jun, 1

Implementations of Parallel Computation of Euclidean Distance Map in Multicore Processors and GPUs

Given a 2-D binary image of size nxn, Euclidean Distance Map (EDM) is a 2-D array of the same size such that each element is storing the Euclidean distance to the nearest black pixel. It is known that a sequential algorithm can compute the EDM in O(n2) and thus this algorithm is optimal. Also, work-time […]
Jun, 1

The Parallel Processing Based on CUDA for Convolution Filter FDK Reconstruction of CT

Computed tomography (CT) technology has been used in many fields. But the slow speed of CT image reconstruction is unbearable in some situation. The parallel processing based on graphic processing unit (GPU) is a great option to accelerate the speed of CT image reconstruction. But the general purpose GPU program model is difficult to use […]
Jun, 1

Parallel particle filter algorithm in face tracking

This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of […]
Jun, 1

Robust Low Complexity Feature Tracking using CUDA

In this paper, we propose a real-time video processing implementation of a Robust Low Complexity Feature Tracking (RLCT) algorithm on GPU (Graphics Processing Unit) using the CUDA (Compute Unified Device Architecture) paradigm. The RLCT outperforms state-of-the-art implementations of pyramidal KLT (Kanade-Lucas-Tomasi) on GPU by removing the overhead of the image pyramid construction, by predicting the […]
Jun, 1

Texture-Based Visualization of Unsteady 3D Flow by Real-Time Advection and Volumetric Illumination

This paper presents an interactive technique for the dense texture-based visualization of unsteady 3D flow, taking into account issues of computational efficiency and visual perception. High efficiency is achieved by a 3D graphics processing unit (GPU)-based texture advection mechanism that implements logical 3D grid structures by physical memory in the form of 2D textures. This […]
Jun, 1

Extremely fast simulator for decoding LDPC codes

Decoding low-density parity-check (LDPC) codes requires a lot of computation time, particularly when bit error rates as low as 10-9 are needed. In this paper, we improve the simulation speed by making use of an inexpensive graphics processing unit (GPU). A dedicated program is written to utilize the hardware resources in the GPU to decode […]
May, 31

Recent trends in software and hardware for GPGPU computing: A comprehensive survey

With the growth of Graphics Processor (GPU) programmability and processing power, graphics hardware has become a compelling platform for computationally demanding tasks in a wide variety of application domains. This state of art paper gives the technical motivations that underlie GPU computing and describe the hardware and software developments that have led to the recent […]
May, 31

Impact of the Random Number generator quality on particle swarm optimization algorithm running on graphic processor units

Particle swarm optimization (PSO) is a bioinspired technique widely used to solve real optimization problems. In the recent years, the use of Graphics Processing Units (GPU) has been proposed for some general purpose computing applications. Some PSO implementations on GPU were already proposed. The major benefit to implement the PSO for GPU is the possibility […]
May, 31

Implementation of medical image segmentation in CUDA

As the fast development of GPU, people tend to use it for more general purposes than its original graphic related work. The high parallel computation capabilities of GPU are welcomed by programmers who work at medical image processing which always have to deal with a large scale of voxel computation. The birth of NVIDIAreg CUDAtrade […]
May, 31

A Framework for multisensor image fusion using graphics hardware

This paper presents a framework for pixel-level multisensor image fusion algorithm using graphics hardware. When it comes to the fusion technology of recent times, not only its visibility through information maximization which is brought about by the progress in sensor technology but also the importance of fusion processing speed has increased. The GPU provides high-performance […]
May, 31

Video architecture and real-time lighting technology for tangible teleconference

This paper proposes a video architecture and real-time lighting technology for tangible teleconference. The tangible teleconference is to homogenize virtually the lighting environments of remote users in the video conference. To realize the tangible teleconference, the paper proposes a video architecture which consists of color texture, specular reflection component, and lighting environment map of each […]

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