Jun, 27

Looking at the surprise: Bottom-up attentional control of an active camera system

Inspired by the expectation-based perception of humans, a surprise-driven active vision system is proposed. This vision system not only considers spatial saliency of objects in the environment, but also investigates temporal novelty in the neighborhood. Surprise is defined as the difference of the saliency probability distributions of two consecutive input images, which is measured using […]
Jun, 27

Real-Time Simulation of Granular Materials Using Graphics Hardware

We present a method to compute friction in a particle-based simulation of granular materials on GPUs and its data structure. We use Distinct Element Method to compute the force between particles. There has been a method to accelerate Distinct Element Method using GPUs, but the method does not compute friction. We implemented friction into the […]
Jun, 27

Generating and Rendering Procedural Clouds in Real Time on Programmable 3D Graphics Hardware

This paper discusses a process of generating and rendering procedural clouds for 3D environments using programmable 3D graphics hardware. Cloud texture generation is performed using Perlin noise and turbulence functions. Our implementation is done in OpenGL supported GPUs with programmable vertex & fragment processing pipeline that supports OpenGL shading language (GLSL). We have performed a […]
Jun, 27

High Quality Interactive Rendering of Massive Point Models Using Multi-way kd-Trees

We present a simple and efficient technique for out-of-core multi resolution construction and high quality visualization of large point datasets. The method introduces a novel hierarchical LOD data organization based on multi-way kd-trees that simplifies memory management and allows controlling the LOD tree’s height. The technique is incorporated in a full end-to-end system, which is […]
Jun, 27

Rapid Texture-based Volume Rendering

Nowadays, man can get a great number of 3D data sets from different sources is common in medical diagnosis but how to explore the information contents of these data sets is still a problem. One effective method is with computer aid rendering the volume. As the 3D datasets are usually in large scalar, the capability […]
Jun, 27

Voreen: A Rapid-Prototyping Environment for Ray-Casting-Based Volume Visualizations

By splitting a complex ray-casting process into different tasks performed on different processors, Voreen provides a lot of flexibility because users can intervene at different points during ray casting. Voreen’s object-oriented design lets users easily create customized processor classes that cooperate seamlessly with existing classes. A user-friendly GUI supports rapid prototyping of visualization ideas. We’ve […]
Jun, 27

Uncluttering Graph Layouts Using Anisotropic Diffusion and Mass Transport

Many graph layouts include very dense areas, making the layout difficult to understand. In this paper, we propose a technique for modifying an existing layout in order to reduce the clutter in dense areas. A physically inspired evolution process based on a modified heat equation is used to create an improved layout density image, making […]
Jun, 27

Accelerating Smith-Waterman Local Sequence Alignment on GPU Cluster

With a high accuracy, the Smith-Waterman local sequence alignment algorithm requires a very large amount of memory and computation, making implementations on common computing systems become less practical. In this paper, we present swGPUCluster – an implementation of the SmithWaterman algorithm on a cluster equipped with NVIDIA GPU graphics cards (called a GPU cluster). Our […]
Jun, 27

Efficient implementation of the overlap operator on multi-GPUs

Lattice QCD calculations were one of the first applications to show the potential of GPUs in the area of high performance computing. Our interest is to find ways to effectively use GPUs for lattice calculations using the overlap operator. The large memory footprint of these codes requires the use of multiple GPUs in parallel. In […]
Jun, 26

Scientific and Engineering Computing Using ATI Stream Technology

This continuing exploration of GPU technology examines ATI Stream technology and its use in scientific and engineering applications.
Jun, 26

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

A Graphics Processing Unit (GPU) based measuring system which is used for processing images from a camera to provide information about displacement is presented in this work. The proposed approach has been developed for measuring small movements of micro robotic systems based on synthetic IPMC (Ionic Polymer Metal Composites) materials using CUDA (Compute Unified Device […]
Jun, 26

A Personal Surround Environment: Projective Display with Correction for Display Surface Geometry and Extreme Lens Distortion

Projectors equipped with wide-angle lenses can have an advantage over traditional projectors in creating immersive display environments since they can be placed very close to the display surface to reduce user shadowing issues while still producing large images. However, wide-angle projectors exhibit severe image distortion requiring the image generator to correctively pre-distort the output image. […]
Page 574 of 825« First...102030...572573574575576...580590600...Last »

* * *

* * *

Follow us on Twitter

HGPU group

1543 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

274 people like HGPU on Facebook

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: nVidia CUDA Toolkit 6.5.14, AMD APP SDK 3.0
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.3
  • SDK: AMD APP SDK 3.0

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2015 hgpu.org

All rights belong to the respective authors

Contact us: