Volume rendering by ray casting is computationally expensive. For interactive volume visualization, rendering must be done in real time (30 frames/s). Since the typical size of a 3D dataset is 256(3), parallel processing is imperative. In this paper, we present an O(log n) EREW algorithm for volume rendering. We use O(n(3)) processors that can be optimized to O(log(3) n) time with O(n(3)/log(3)n) processors. We have implemented our algorithm on a MasPar MP-1. The implementation results show that a frame of size 256(3) is generated in Ils by 4096 processors. This time can be further reduced by the use of large number of processors
Previous work in single-processor ray casting methods for volume rendering has concentrated on algor...
Real-time visualization of large volume datasets demands high performance computation, pushing the s...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...
Volume rendering by ray casting is computationally expensive. For interactive volume visualization, ...
Volume rendering by ray casting is a computation-ally expensive problem. For interactive volume visu...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Volume rendering is a technique for visualizing 3D arrays of sampled data. It has applications in ar...
The rapid development of digital technology has enabled the real-time volume rendering of scientific...
Volume rendering, i.e. direct rendering of regular volume data and not via surface primitives, is a ...
Volume rendering is a key technique in scientific visualization that lends itself to significant exp...
In this paper we present a data parallel volume rendering algorithm with numerous advantages over pr...
Volume rendering is a key technique in scientific visualization that lends itself to significant exp...
Figure 1: Several volumes rendered on the VolumePro hardware at 30 frames per second. This paper des...
The development of effective parallel rendering algorithms for unstructured volume data is challengi...
Volume rendering is a technique to display 3D volumetric data sets as 2D images. Main computation in...
Previous work in single-processor ray casting methods for volume rendering has concentrated on algor...
Real-time visualization of large volume datasets demands high performance computation, pushing the s...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...
Volume rendering by ray casting is computationally expensive. For interactive volume visualization, ...
Volume rendering by ray casting is a computation-ally expensive problem. For interactive volume visu...
The Volume Ray-Casting rendering algorithm, often used to produce medical imaging, is a well-known a...
Volume rendering is a technique for visualizing 3D arrays of sampled data. It has applications in ar...
The rapid development of digital technology has enabled the real-time volume rendering of scientific...
Volume rendering, i.e. direct rendering of regular volume data and not via surface primitives, is a ...
Volume rendering is a key technique in scientific visualization that lends itself to significant exp...
In this paper we present a data parallel volume rendering algorithm with numerous advantages over pr...
Volume rendering is a key technique in scientific visualization that lends itself to significant exp...
Figure 1: Several volumes rendered on the VolumePro hardware at 30 frames per second. This paper des...
The development of effective parallel rendering algorithms for unstructured volume data is challengi...
Volume rendering is a technique to display 3D volumetric data sets as 2D images. Main computation in...
Previous work in single-processor ray casting methods for volume rendering has concentrated on algor...
Real-time visualization of large volume datasets demands high performance computation, pushing the s...
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduc...