high performance computing on graphics processing units: hgpu.org

The study of magnetic phenomena in nanometer scale is essential for development of new technologies and materials. It also leads to a better understanding of magnetic properties of matter. An approach to the study of magnetic phenomena is the use of a physical model and its computational simulation. For this purpose, in previous works we […]

Open Computing Language (OpenCL) is an open royalty-free standard for general purpose parallel programming across Central Processing Units (CPUs), Graphic Processing Units (GPUs) and other processors. This paper introduces OpenCL to implement real-time smoking simulation in a virtual surgery training simulation system. Firstly, the Computational Fluid Dynamics (CFD) is adopted to construct the real-time smoking […]

OpenCL is an industry supported standard for writing programs that execute on multicore platforms as well as on accelerators, such as GPUs or the SPEs of the Cell B.E. In this paper we introduce GLOpenCL, a unified development framework which supports OpenCL on both homogeneous, shared memory, as well as on heterogeneous, distributed memory multicores. […]

We present a new domain-specific programming language suitable for extending both interactive and non-interactive ray tracing systems. This language, called ldquoray tracing shading languagerdquo (RTSL), builds on the GLSL language that is a part of the OpenGL specification and familiar to GPU programmers. This language allows a programmer to implement new cameras, primitives, textures, lights, […]

The Middlebury multi-view stereo evaluation clearly shows that the quality and speed of most multi-view stereo algorithms depends significantly on the number and selection of input images. In general, not all input images contribute equally to the quality of the output model, since several images may often contain similar and hence overly redundant visual information. […]

In this application paper, we report on over fifteen years of experience with relativistic and astrophysical visualization, which has been culminating in a substantial engagement for visualization in the Einstein Year 2005 – the 100th anniversary of Einstein’s publications on special relativity, the photoelectric effect, and Brownian motion. This paper focuses on explanatory and illustrative […]

Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, such as shading, contours, and shadows. Artists and illustrators frequently employ halos for this purpose. In this technique, regions surrounding the edges of certain structures are darkened or brightened which […]

Diffusion tensor imaging is of high value in neurosurgery, providing information about the location of white matter tracts in the human brain. For their reconstruction, streamline techniques commonly referred to as fiber tracking model the underlying fiber structures and have therefore gained interest. To meet the requirements of surgical planning and to overcome the visual […]

We present a real-time shadow method based on the shadow volume that exploits capabilities of the modern graphics cards. The algorithm is primarily created for casting shadows of highly concave complex objects such as trees. For those objects, silhouette calculation that is usually preformed by other shadow volume algorithms is complicated and poorly justified. Instead […]

Image spatial diffusion targets on blurring small discontinuities while sharpening distinct edges. We propose two GPU-based methods to efficient generate content-aware spatial diffused images. In the first method, we apply an enhanced bilateral filter on the input image. Our filter adopts a spatial weight kernel in the form of an inverted Gaussian. This inverted-Gaussian-spatial bilateral […]

As the size of new supercomputers scales to tens of thousands of sockets, the mean time between failures (MTBF) is decreasing to just several hours and long executions need some kind of fault tolerance method to survive failures. CheckpointRestart is a popular technique used for this purpose; but writing the state of a big scientific […]

Real-time global illumination in VR systems enhances scene realism by incorporating soft shadows, reflections of objects in the scene, and color bleeding. The virtual light field (VLF) method enables real-time global illumination rendering in VR. The VLF has been integrated with the extreme VR system for real-time GPU-based rendering in a cave automatic virtual environment.