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Sort-first, distributed memory parallel visualization and rendering.
| Content Provider | CiteSeerX |
|---|---|
| Author | Wes, E. Greg, Bethela Paulc, Humphreysb Brian Bredersond, J. Dean |
| Abstract | While commodity computing and graphics hardware has increased in capacity and dropped in cost, it is still quite difficult to make effective use of such systems for general-purpose parallel visualization and graphics. We describe the results of a recent project that provides a software infrastructure suitable for general-purpose use by parallel visualization and graphics applications. Our work combines and extends two technologies: Chromium, a stream-oriented framework that implements the OpenGL programming interface; and OpenRM Scene Graph, a pipelined-parallel scene graph interface for graphics data management. Using this combination, we implement a sort-first, distributed memory, parallel volume rendering application. We describe the performance characteristics in terms of bandwidth requirements and highlight key algorithmic considerations needed to implement the sort-first system. We characterize system performance using a distributed memory parallel volume rendering application, and present performance gains realized by using scene specific knowledge to accelerate rendering by reducing network traffic. The contribution of this work is an exploration of general-purpose, sort-first architecture performance characteristics as applied to distributed memory, commodity hardware, along with a description of the algorithmic support needed to realize parallel, sort-first implementations. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Distributed Memory Parallel Visualization Distributed Memory General-purpose Use Scene Specific Knowledge Sort-first Architecture Performance Characteristic Effective Use Opengl Programming Interface Bandwidth Requirement Openrm Scene Graph Pipelined-parallel Scene Graph Interface Network Traffic Work Combine Sort-first Implementation Distributed Memory Parallel Volume Present Performance Gain Highlight Key Algorithmic Consideration System Performance Graphic Application Sort-first System Parallel Volume General-purpose Parallel Visualization Commodity Computing Performance Characteristic Graphic Hardware Recent Project Stream-oriented Framework Parallel Visualization Software Infrastructure Graphic Data Management Algorithmic Support Commodity Hardware |
| Content Type | Text |
