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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Hansen, Charles D. | Binary-swap volumetric rendering on the T3D | This paper presents a data distributed parallel raytraced volume rendering algorithm and its implementation on the CRI T3D. This algorithm distributes the data and the computational load to individual processing units to achieve fast and high-quality rendering of high-resolution data. The volume dat... | Volume rendering; Binary-swap; Ray tracing; Parallel rendering | 1995 |
| 2 |
 | Hansen, Charles D. | Interactive texture-based volume rendering for large data sets | Visualization is an integral part of scientific computation and simulation. State-of-the-art simulations of physical systems can generate terabytes to petabytes of time-varying data where a single time step can contain more than a gigabyte of data per variable. As memory sizes continue to increase, ... | Parallel rendering; Volume rendering; TRex | 2001 |
| 3 |
 | Parker, Steven G. | Massively parallel software rendering for visualizing large-scale data sets | For some time, researchers have done production visualization almost exclusively using high-end graphics workstations. They routinely archived and analyzed the outputs of simulations running on massively parallel supercomputers. Generally, a feature extraction step and a geometric modeling step t... | Parallel rendering; Volume rendering; Ray tracing; Isosurfacing | 2001 |
| 4 |
 | Hansen, Charles D. | Massively parallel visualization: parallel rendering | This paper presents rendering algorithms, developed for massively parallel processors (MPPs), for polygonal, spheres, and volumetric data. The polygon algorithm uses a data parallel approach whereas the sphere and volume renderer use a MIMD approach. Implementations for these algorithms are presente... | Parallel visualization; Parallel rendering; Massively parallel processors | 1995 |
| 5 |
 | Parker, Steven G. | Memory sharing for interactive ray tracing on clusters | We present recent results in the application of distributed shared memory to image parallel ray tracing on clusters. Image parallel rendering is traditionally limited to scenes that are small enough to be replicated in the memory of each node, because any processor may require access to any piece o... | Ray tracing; Out-of-core rendering; Distributed shared memory; Cache miss reduction; Parallel rendering | 2005-02 |
| 6 |
 | Hansen, Charles D. | Parallel rendering | Massively parallel computers have emerged as valuable tools for performing scientific and engineering computations, far outstripping the capabilities of independent workstations in both sheer floating point performance and memory capacity. As the resolution of simulation models increases, graphics ... | Parallel rendering; Massively parallel processors | 1994 |
| 7 |
 | Hansen, Charles D. | Recent developments in parallel rendering | Using parallel computers for computer graphics rendering dates back to the late 1970s. Several papers published then focused on image space decompositions for theoretical parallel machines. Early research concentrated on algorithmic studies and special-purpose hardware, but the growing availability... | Parallel rendering; Massively parallel processors | 1994 |
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