high performance computing on graphics processing units: hgpu.org

This paper presents a new GPU-based tensor voting implementation which achieves significant performance improvement over the conventional CPU-based implementation. Although the tensor voting framework has been used for many vision problems, it is computationally very intensive when the number of input tokens is very large. However, the fact that each token independently collects votes allows […]

This paper investigates the problem of object surface reflectance modeling, which is sometimes referred to as inverse reflectometry, for photorealistic rendering and effective multimedia applications. A number of methods have been developed for estimating object surface reflectance properties in order to render real objects under arbitrary illumination conditions. However, it is still difficult to densely […]

In the past, graphics processors were special purpose hardwired application accelerators, suitable only for conventional rasterization-style graphics applications. Modern GPUs are now fully programmable, massively parallel floating point processors. This talk will describe NVIDIA’s massively multithreaded computing architecture and CUDA software for GPU computing. The architecture is a scalable, highly parallel architecture that delivers high […]

In this paper, a new technique is presented for interactive rendering of caustics fully processed on GPU. Without any pre-computation required, the algorithm can directly render refractive caustics from complex deformable transparent objects onto an opaque receiver surface. By the technique we accurately trace the path of the photons and calculate the energy carried by […]

In this paper, a low-power GPU architecture is described for the handheld systems with limited power and area budgets. The GPU is designed using logarithmic arithmetic for power- and area-efficient design. For this GPU, a multifunction unit is proposed based on the hybrid number system of floating-point and logarithmic numbers and the matrix, vector, and […]

Over the past years, the interaction between humans and computers (HCI) evolved to one of the most important research topics in computer science. Therefore, finding a way for an intuitive, easy and affordable interaction is the main challenge. Optical markerless tracking using consumer hardware can satisfy these problems. However, in order to be able to […]

Autostereoscopic displays enable unencumbered immersive virtual reality, but at a significant computational expense. This expense impacts the feasibility of autostereo displays in high-performance real-time interactive applications. A new autostereo rendering algorithm named autostereo combiner addresses this problem using the programmable vertex and fragment pipelines of modern graphics processing units (GPUs). This algorithm is applied to […]

Natural mountains and valleys are gradually eroded by rainfall and river flows. Physically-based modeling of this complex phenomenon is a major concern in producing realistic synthesized terrains. However, despite some recent improvements, existing algorithms are still computationally expensive, leading to a time-consuming process fairly impractical for terrain designers and 3D artists. In this paper, we […]

Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism in weather models, much of the performance increase has come from increasing processor speed rather than increased parallelism. This free ride is nearly over. Recent results also indicate that simply […]

Interactive simulations of deformable bodies are a growing research area with possible applications in several fields, i.e. computer aided surgery. The main implementation issue is to mimic the real behavior of the body at the extremely high rates required by haptic devices. Since even high-end computers have inadequate performance, one possible solution is to exploit […]

In this paper we describe a cellular automaton (CA) used to perform the watershed transform in N-D images. Our method is based on image integration via the Ford-Bellman shortest paths algorithm. Due to the local nature of CA algorithms we show that they are designed to run on massively parallel processors and therefore, be efficiently […]

Memory access patterns common in video processing algorithms, which are unsuited to the GPU (Graphics Processing Unit) memory system, are identified. We develop REDA (Reconfigurable Engine for Data Access) to improve GPU performance for such access patterns, by employing reconfigurable logic for address mapping. It is shown that a sixty times reduction in number of […]