Javier Setoain, Manuel Prieto, Christian Tenllado, Antonio Plaza, Francisco Tirado
Spatial/spectral algorithms have been shown in previous work to be a promising approach to the problem of extracting image end members from remotely sensed hyperspectral data. Such algorithms map nicely on high-performance systems such as massively parallel clusters and networks of computers. Unfortunately, these systems are generally expensive and difficult to adapt to onboard data […]
View View   Download Download (PDF)   
Stefan Eilemann, Maxim Makhinya, Renato Pajarola
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering solutions that can exploit multipipe hardware accelerated graphics. In fact, to achieve interactive visualization, scalable rendering systems are essential to cope with the rapid growth of data sets. However, parallel rendering systems […]
J. Setoain, C. Tenllado, M. Prieto, D. Valencia, A. Plaza, J. Plaza
Many recent research efforts have been devoted to the use of commodity hardware for solving computationally-intensive scientific problems. Among such problems, hyperspectral imaging has created new processing challenges in the remote sensing community. Hyperspectral sensors are now capable of collecting hundreds of images, corresponding to different wavelength channels, for the same area on the surface […]
View View   Download Download (PDF)   
Anupam Gopal
This thesis explores the possibility of mapping power flow algorithms on a graphics processor. In particular we demonstrate the implementation of DC power flow based contingency analysis on a graphic processing unit (GPU). GPU’s are SIMD processors with highly streamlined architecture to support rendering of graphic images on the computer screen. However, in the recent […]
View View   Download Download (PDF)   
Anupam Gopal, Dagmar Niebur, Suresh Venkatasubramanian
Graphic processing units (GPUs) are single instruction, multiple data processors which have become an integral part of modern high-end video cards installed on a general purpose PCs. This paper investigates the parallel implementation of DC power flow based contingency analysis on graphic processing units. Results for the IEEE standard test systems show a speed-up of […]
Souradip Sarkar, Turbo Majumder, Ananth Kalyanaraman, Partha Pratim Pande
Computing research has become a vital cog in the machinery required to drive biological discovery. Computing has made possible significant achievements over the last decade, especially in the genomics sector. An emerging area is the investigation of hardware accelerators for speeding up the massive scale of computation needed in large-scale biocomputing applications. Various hardware platforms, […]
View View   Download Download (PDF)   
Ofri Sadowsky, Jonathan D. Cohen, Russell H. Taylor
This paper presents a novel method for volume rendering of unstructured grids. Previously, we introduced an algorithm for perspective-correct interpolation of barycentric coordinates and computing polynomial attenuation integrals for a projected tetrahedron using graphics hardware. In this paper, we enhance the algorithm by providing a simple and efficient method to compute the projected shape (silhouette) […]
View View   Download Download (PDF)   
Yonghao Yue, Kei Iwasaki, Yoshinori Dobashi, Tomoyuki Nishita
In this paper, we propose a fast global illumination solution for interactive lighting design. Using our method, light sources and the viewpoint are movable, and the characteristics of materials can be modified (assuming low-frequency BRDF) during rendering. Our solution is based on particle tracing (a variation of photon mapping) and final gathering. We assume that […]
View View   Download Download (PDF)   
Dan Campbell
The High Performance Embedded Computing Software Initiative (HPEC-SI) is developing a unified software framework for computation and communication for high performance signal processing tasks on parallel computers. The goal of the program is to address the high cost of software in Department of Defense (DoD) systems by improving the portability and productivity of signal processing […]
View View   Download Download (PDF)   
Eric Acosta, Alan Liu
This paper describes real-time volumetric haptic and visual algorithms developed to simulate burrhole creation for a virtual reality-based craniotomy surgical simulator. A modified Voxmap point-shell algorithm (McNeely et al., 1999), (Renz et al., 2001) is created to simulate haptic interactions between bone cutting tools and voxel-based bone. New surface boundary detection and force feedback calculation […]
View View   Download Download (PDF)   
Xinyu Zhang, Y.J. Kim
We present an interactive and accurate collision detection algorithm for deformable, polygonal objects based on the streaming computational model. Our algorithm can detect all possible pairwise primitive-level intersections between two severely deforming models at highly interactive rates. In our streaming computational model, we consider a set of axis aligned bounding boxes (AABBs) that bound each […]
View View   Download Download (PDF)   
Felix Ritter, Christian Hansen, Volker Dicken, Olaf Konrad, Bernhard Preim, and Heinz-Otto Peitgen
We present real-time vascular visualization methods, which extend on illustrative rendering techniques to particularly accentuate spatial depth and to improve the perceptive separation of important vascular properties such as branching level and supply area. The resulting visualization can and has already been used for direct projection on a patient’s organ in the operation theater where […]
View View   Download Download (PDF)   
Page 1 of 612345...Last »

* * *

* * *

Follow us on Twitter

HGPU group

1660 peoples are following HGPU @twitter

Like us on Facebook

HGPU group

334 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: