Posts
May, 6
Accelerating InSAR raw data simulation on GPU using CUDA
This paper describes a scalable parallel method for interferometric synthetic aperture radar (InSAR) raw data simulation on graphic processing unit (GPU) with common unified device architecture (CUDA). The advantages of the new method rely on the three contributions: GPU hardware provides lots of stream processors for threads calculating, CUDA software environment runs thousands of threads […]
May, 6
GPU-Accelerated Evaluation Platform for High Fidelity Network Modeling
High-fidelity simulations of mixed wired and wireless network systems are dependent on detailed simulation models, especially in the lower layers of the network stack. However, detailed modeling can result in prohibitive computation cost. In recent years, commercial graphics cards (GPUs) have drawn attention from the general computing community due to the superior computation capability. In […]
May, 6
High speed 3-D registration using GPU
This paper describes high speed 3D object recognition based on DAI (depth aspect image) matching and M-ICP (modified iterative closest point). We regards GPU(graphic processing units) as coprocessor which are capable of computation for general purpose. We proposed 3D object recognition method which consists of two step pose estimation and positioning, i.e. the DAI matching […]
May, 6
Real-time 3D registration of stereo-vision based range images using GPU
3D registration is a computer vision technique of aligning multi-view range images with respect to a reference co-ordinate system. Aligning range images is an important and time-complex step in complete 3D reconstruction. In this paper, we propose a real-time 3D registration technique by employing the accelerated computing power of GPU (graphic processing unit). In the […]
May, 6
Performance Evaluation of Optimized Implementations of Finite Difference Method for Wave Propagation Problems on GPU Architecture
The scattering of acoustic waves in non-homogeneous media has been of practical interest for the petroleum industry, mainly in the determination of new oil deposits. A family of computational models that represent this phenomenon is based on finite difference methods. The simulation of these phenomena demands a high computational cost. In this work we employ […]
May, 6
Efficient nearest-neighbor computation for GPU-based motion planning
We present a novel k-nearest neighbor search algorithm (KNNS) for proximity computation in motion planning algorithm that exploits the computational capabilities of many-core GPUs. Our approach uses locality sensitive hashing and cuckoo hashing to construct an efficient KNNS algorithm that has linear space and time complexity and exploits the multiple cores and data parallelism effectively. […]
May, 6
Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation
This paper presents robust 3-D algorithms to segment vasculature that is imaged by labeling laminae, rather than the lumenal volume. The signal is weak, sparse, noisy, nonuniform, low-contrast, and exhibits gaps and spectral artifacts, so adaptive thresholding and Hessian filtering based methods are not effective. The structure deviates from a tubular geometry, so tracing algorithms […]
May, 6
Mechanical Characterization and Performance Optimization for GPU Fan-Sink Cooling Module Assembly
Three GPU fan-sink cooling module assembly mounting mechanisms are mechanically characterized to determine the relationships between the clamping forces and screw torques. The first-order screw torque solutions are determined from the statistical regressions according to current industry recommendations. The screw tension force theoretical solution is derived for application to the finite-element model to assess the […]
May, 6
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulation resembling the flocking behavior of birds in nature. This method is superior to other clustering algorithms, including k-means, in the sense that the outcome is not sensitive to the initial […]
May, 5
Towards accelerating molecular modeling via multi-scale approximation on a GPU
Research efforts to analyze biomolecular properties contribute towards our understanding of biomolecular function. Calculating non-bonded forces (or in our case, electrostatic surface potential) is often a large portion of the computational complexity in analyzing biomolecular properties. Therefore, reducing the computational complexity of these force calculations, either by improving the computational algorithm or by improving the […]
May, 5
Towards real time vision based UUV navigation using GPU technology
The last decade has witnessed the establishment of image processing as a viable means of aiding underwater navigation. However, many such systems are only implemented in pre-processing and offline due to their excessive computational demands. Real-time techniques often require special purpose hardware or impose limitations on the system to obtain real-time performance at the expense […]
May, 5
The implementation of Multi-Scale Retinex image enhancement algorithm based on GPU via CUDA
The MSR (Multi-Scale Retinex) image enhancement algorithm can produce best performance in most cases, but the computation load is very huge especially for large image. In this paper, an efficient approach is proposed to accelerate MSR image enhancement speed on GPU via CUDA (Compute Unified Device Architecture). Time consuming modules such as multi-scale Gaussian filter, […]
