Posts
May, 7
Parallel ID Shadow-Map Decompression on GPU
ID shadow-maps are used for robust real-time rendering of shadows. The primary disadvantage of using shadow-maps is their excessive size for large scenes in case high quality shadows are needed. To eliminate large memory requirements and texture-size limitations of the current generation GPUs, texture compression is an important tool. We present a framework where compressed […]
May, 7
Cluster versus GPU implementation of an Orthogonal Target Detection Algorithm for Remotely Sensed Hyperspectral Images
Remotely sensed hyperspectral imaging instruments provide high-dimensional data containing rich information in both the spatial and the spectral domain. In many surveillance applications, detecting objects (targets) is a very important task. In particular, algorithms for detecting (moving or static) targets, or targets that could expand their size (such as propagating fires) often require timely responses […]
May, 7
Visual cortex on the GPU: Biologically inspired classifier and feature descriptor for rapid recognition
We present a biologically motivated classifier and feature descriptors that are designed for execution on single instruction multi data hardware and are applied to high speed multiclass object recognition. Our feature extractor uses a cellular tuning approach to select the optimal Gabor filters to process a given input, followed by the computation of scale and […]
May, 7
GPU Based Parallel Computing on Blast Program
Sequence alignment is one of the most fundamental and important operation in Bioinformatics. Among lots of Sequence alignment tools, Blast is one of the most popular algorithms. In this paper, we describe the primary strategy of a GPU-based parallel computing on Blast program.
May, 7
An Improved Parallel Implementation of 3D DRIE Simulation on GPU
Deep reactive ion etching (DRIE) technique is a new and powerful tool in Micro-Electro-Mechanical Systems (MEMS) fabrication. A 3D DRIE simulation can help researcher understand the time-evolution of Bosch process used in DRIE. Due to the high complexity of the algorithm used in the simulation, it is necessary to develop an algorithm that can accelerate […]
May, 7
Survey of GPU water simulation in game engine
We, in this paper, give a general survey of water simulation adaptable to real-time application like 3D game engine. After that, we implement GPU accompany with CPU to tackle several key point in water simulation ranging from heightmap and normalmap to water geometry modelling. In last part of this paper, we display our experiment to […]
May, 7
Computation of Troposphere Slant Delays on a GPU
The computation of ray-traced troposphere delays which can be utilized for space geodetic applications is a time-consuming effort when a large number of rays has to be calculated. On the other hand, computation time can be tremendously reduced when algorithms are capable of supporting parallel processing architectures. Thus, by the use of an off-the-shelf graphics […]
May, 7
A Parallel Immune Algorithm Based on Fine-Grained Model with GPU-Acceleration
Fine-grained parallel immune algorithm (FGIA), though a popular and robust strategy for solving complicated optimization problems, is sometimes inconvenient to use as its population size is restricted by heavy data communication and the parallel computers are relatively difficult to use, manage, maintain and may not be accessible to most researchers. In this paper, we propose […]
May, 7
GPU accelerated elliptic curve cryptography in GF(2m)
This paper presents the Graphics Processing Unit (GPU) accelerated version of the LSB Invariant scalar point multiplication for binary elliptic curves. This method was implemented using the CUDA programming language for nVidia graphics cards. With a parallel factor of (length+1) and Lopez-Dahab projective coordinate Pi’s, on an nVidia GTX 285 graphics card precomputation takes 190.203995 […]
May, 7
Stereo Matching Algorithm Using Population-Based Incremental Learning on GPU
To solve the general problems of genetic algorithms applied in stereo matching, two measures are proposed. Firstly, the strategy of the simplified population-based incremental learning (PBIL) is adopted to decrease the problems in memory consumption and searching inefficiency, as well as a scheme controlling the distance of neighbors for disparity smoothness is inserted to obtain […]
May, 6
A GPU-based computing framework for CSCW
Graphics processing units (GPUs) have evolved from fixed graphics pipeline processors into more flexible and powerful data-parallel processors. Their ever-increasing computing power makes them an attractive platform for high performance computing at a low cost. Up to the present, most efforts that exploit GPUs are graphical and scientific applications. Nevertheless, little attention has been paid […]
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 […]
