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Previous works in the literature have shown the feasibility of general purpose computations for non-visual applications on low-end mobile graphics processors using graphics APIs. These works focused only on the functional aspects of the software, ignoring the implementation details and therefore their performance implications due to their particular micro-architecture. Since various steps in such...
Hybrid volume rendering algorithms combine techniques of different categories of volume visualization. Volume on Surface (VoS) is a hybrid volume rendering technique that maps volume information to isosurfaces, intending to accelerate the volume rendering process. In this paper, we introduce an improved version of the VoS technique. Furthermore, we conduct an evaluation of CUDA-based versions of both...
The growing importance of three-dimensional radiotherapy treatment has been associated with the active presence of advanced computational workflows that can simulate conventional x-ray films from computed tomography (CT) volumetric data to create digitally reconstructed radiographs (DRR). These simulated x-ray images are used to continuously verify the patient alignment in image-guided therapies with...
In this paper, we propose a framework of CPU-GPU coupled computation based on OpenCL (Open Computing Language) for the real-time rendering of large-scale terrain datasets. Firstly, large-scale terrain datasets are divided into terrain chunks with the same size. Then appropriate terrain chunks are loaded into the host memory and the global memory of OpenCL device by 2-level caching mechanism and the...
With the ever increasing computational demand of scientific research and data analysis, there has been a migration towards GPU computing. GPU are now the primary source of compute power in most top supercomputers. But in order to make use of the power programs must utilize more than a single GPU. Within this paper we will explain various approaches we have taken to utilize multiple GPU, and attempt...
There are many scientific applications ranging from weather prediction to oil and gas exploration that requires high-performance computing. It aids industries and researchers to enrich further their advancements. With the advent of general purpose computing over GPUs, most of the applications above are shifting towards High-Performance Computing (HPC). Agent-based crowd simulation is one of the candidates...
As the era of Moore's Law and increasing CPU clock rates nears its stopping point the focus of chip and hardware design has shifted to increasing the number of computation cores present on the chip. This increase can be most clearly seen in the rise of Graphic Processing Units (GPU) where hundreds or thousands of slower cores work in parallel to accomplish tasks. Programming for these chips represents...
This paper presents a technique for interactively colliding with and deforming mesostructures at a per-texel level. It is compatible with a broad range of existing mesostructure rendering techniques including both safe and unsafe ray-height field intersection algorithms. This technique is able to replace traditional 3D geometrical deformations (vertex-based) with 2D image space operations (pixel-based)...
In this paper, we present design and implementation of a fast runtime visualizer for a GPU-based 3D-FDTD electromagnetic simulation. We focus on improving the productivity of simulator development without compromising simulation performance. In order to keep the portability, we implemented a visualizer with the MVC model, where simulation kernels and visualization process were completely separated...
Recently, Katz et al. have shown how visibility information for a point cloud may be estimated by the so-called HPR operator. In a nutshell, the operator consists of a simple transformation of the cloud followed by a convex hull computation. Since convex hulls take $O(n \log n)$ time to compute in the worst case, this method has been considered impractical for real-time rendering of medium to large...
With rapid improvements in the performance and programmability, graphics processing units (GPUs) have fostered considerable interest in substantially reducing the running time of compute intensive problems. The solution to the view-independent mutual point-pair visibility problem (required for inter-reflections in global illumination) can, it would seem, require the capabilities of the GPUs. In this...
Phase unwrapping is the process of converting discontinuous phase data into a continuous image. This procedure is required by any imaging technology that uses phase data such as MRI, SAR or OQM microscopy. Such algorithms often take a significant amount of time to process on a general purpose computer, rendering it difficult to process large quantities of information. This paper compares implementations...
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