11658
Jinglin Zhang
The work presented in this thesis takes place in a context of growing demand for image and video applications on parallel embedded systems. The limitations and lack of flexibility of current design with parallel embedded systems make increasingly complicated to implement applications, particularly on heterogeneous systems. But Open Computing Language (OpenCL) is a new framework […]
View View   Download Download (PDF)   
Jiawen Chen
A number of useful image and video processing techniques, ranging from low level operations such as denoising and detail enhancement to higher level methods such as object manipulation and special effects, rely on piecewise-smooth functions computed from the input data. In this thesis, we present two computationally efficient data structures for representing piecewise-smooth visual information […]
View View   Download Download (PDF)   
Simon Walton, Mark Jones
We present a rendering algorithm for the forward projection of volume deformations. Spatial deformations are modeled by allowing the user to define curve skeletons inside the target object. Our rendering method utilises modern consumer graphics hardware and is integrated into an easy to use interface. In addition, we give an analysis of spatial transfer functions […]
View View   Download Download (PDF)   
Lu Wang, Changhe Tu, Wenping Wang, Xiangxu Meng, Bin Chan, Dongming Yan
Coarse piecewise linear approximation of surfaces causes the undesirable polygonal appearance of silhouettes. We present an efficient method for smoothing the silhouettes of coarse triangle meshes using efficient 3D curve reconstruction and simple local remeshing. It does not assume the availability of a fine mesh and generates only a moderate amount of additional data at […]
View View   Download Download (PDF)   
Peter Kehoe, Alan F. Smeaton
The rapid pace of development of graphic processor units (GPUs) in recent years in terms of performance and programmability has attracted the attention of those seeking to leverage alternative architectures for better performance than that which commodity CPUs can provide. In this paper, the potential of the GPU in automatically structuring video is examined, specifically […]
View View   Download Download (PDF)   
Jon Hjelmervik, Jean-Claude Leon
In this paper we present a GPU-based method for removing shape details of 3D models. 3D models used in finite element analysis (FEA) are often either constructed for the purpose of manufacturing, or a result of 3D scanning. The models therefore contain shape details that are neither important for FEA nor compatible with the mechanical […]
View View   Download Download (PDF)   
Carsten Stoll, Stefan Gumhold, Hans-Peter Seidel
To overcome the limitations of triangle and point based surfaces several authors have recently investigated surface representations that are based on higher order primitives. Among these are MPU, SLIM surfaces, dynamic skin surfaces and higher order iso-surfaces. Up to now these representations were not suitable for interactive applications because of the lack of an efficient […]
View View   Download Download (PDF)   
Paul M. Novotny, Jeff A. Stoll, Nikolay V. Vasilyev, Pedro J. del Nido, Pierre E. Dupont, Todd E. Zickler and Robert D. Howe
Real-time three-dimensional ultrasound enables new intracardiac surgical procedures, but the distorted appearance of instruments in ultrasound poses a challenge to surgeons. This paper presents a detection technique that identifies the position of the instrument within the ultrasound volume. The algorithm uses a form of the generalized Radon transform to search for long straight objects in […]
View View   Download Download (PDF)   
Dyken, C., Reimers, M., Seland, J.
We present an algorithm for detecting and extracting the silhouette edges of a triangle mesh in real time using Graphical Processing Units (GPUs). We also propose a tessellation strategy for visualizing the mesh with smooth silhouettes through a continuous blend between Bezier patches with varying level of detail. Furthermore, we show how our techniques can […]
View View   Download Download (PDF)   
S. May, M. Klodt, E. Rome, R. Breithaupt
This work focuses on the relevance of visual attention in affordance-inspired robotics. Among all approaches in robotics related to Gibson’s concept of affordances the dealing with attention cues is only rudimentary. We are introducing this concept within the perception layer of our affordance-inspired robotic framework. In this context we present a high-performance visual attention system […]
View View   Download Download (PDF)   
Chi-Wang Ho, O. C. Au, Gary, Shu-Kei Yip, Hoi-Ming Wong
We present an efficient implementation of motion estimation (ME) for H.264/AVC using programmable graphics hardware. The cost function for ME in H.264/AVC depends on the motion vector (MV) predictor which is the median MV of three neighboring coded blocks. Previous implementations assume no dependency among adjacent blocks, which is not true for H.264/AVC, they also […]
View View   Download Download (PDF)   
Naga Govindaraju, Jim Gray, Ritesh Kumar, Dinesh Manocha
We present a novel external sorting algorithm using graphics processors (GPUs) on large databases composed of billions of records and wide keys. Our algorithm uses the data parallelism within a GPU along with task parallelism by scheduling some of the memory-intensive and compute-intensive threads on the GPU. Our new sorting architecture provides multiple memory interfaces […]
View View   Download Download (PDF)   
Page 1 of 212

* * *

* * *

Like us on Facebook

HGPU group

193 people like HGPU on Facebook

Follow us on Twitter

HGPU group

1329 peoples are following HGPU @twitter

* * *

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: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • 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: AMD APP SDK 2.9
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

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 © 2010-2014 hgpu.org

All rights belong to the respective authors

Contact us: