Volume rendering is a technique for visualizing 3D arrays of sampled data. It has applications in areas such as medical imaging and scientific visualization, but its use has been limited by its computational expense and memory constraints. This thesis explores the use of parallel architectures for volume rendering. Parallel rendering is by no means a mature field, in fact efficient parallel rendering is an elusive goal. The problems encountered in parallel volume rendering algorithms include load imbalance, communication overheads and redundant computations. These problems are addressed in this thesis and new techniques are proposed to alleviate the compute inefficiency in parallel volume rendering algorithms.Master of Applied Scienc
Several approaches have been proposed to visualize 3D volume data on multiprocessor systems in recen...
Direct Volume Rendering is a popular technique for visualization of 3D datasets that offers manyadv...
Volume rendering is a technique for visualizing 3D images from 2D sampled data. For 2D medical image...
Volume rendering is a technique for visualizing 3D arrays of sampled data. It has applications in ar...
AbstractVisualization methods of medical imagery based on volumetric data constitute a fundamental t...
[[abstract]]3-D data visualization is very useful for medical imaging and computational fluid dynami...
In this paper we present a data parallel volume rendering algorithm with numerous advantages over pr...
As the resolution of simulation models increases, scientific visualization algorithms which take adv...
This paper describes the architecture of ReVolver/C40 a scalable parallel machine for volume render...
Volume rendering, i.e. direct rendering of regular volume data and not via surface primitives, is a ...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Volume rendering by ray casting is computationally expensive. For interactive volume visualization, ...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...
On screen division of objects for parallel volume rendering is considered in this paper. The suggest...
Volume Visualization techniques are often applied to sampled data obtained from MRI and CT-scans as ...
Several approaches have been proposed to visualize 3D volume data on multiprocessor systems in recen...
Direct Volume Rendering is a popular technique for visualization of 3D datasets that offers manyadv...
Volume rendering is a technique for visualizing 3D images from 2D sampled data. For 2D medical image...
Volume rendering is a technique for visualizing 3D arrays of sampled data. It has applications in ar...
AbstractVisualization methods of medical imagery based on volumetric data constitute a fundamental t...
[[abstract]]3-D data visualization is very useful for medical imaging and computational fluid dynami...
In this paper we present a data parallel volume rendering algorithm with numerous advantages over pr...
As the resolution of simulation models increases, scientific visualization algorithms which take adv...
This paper describes the architecture of ReVolver/C40 a scalable parallel machine for volume render...
Volume rendering, i.e. direct rendering of regular volume data and not via surface primitives, is a ...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Volume rendering by ray casting is computationally expensive. For interactive volume visualization, ...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...
On screen division of objects for parallel volume rendering is considered in this paper. The suggest...
Volume Visualization techniques are often applied to sampled data obtained from MRI and CT-scans as ...
Several approaches have been proposed to visualize 3D volume data on multiprocessor systems in recen...
Direct Volume Rendering is a popular technique for visualization of 3D datasets that offers manyadv...
Volume rendering is a technique for visualizing 3D images from 2D sampled data. For 2D medical image...