The design and evaluation of a pipelined image compositing device for massively parallel volume rendering
Masato Ogata, Shigeru Muraki, Xuezhen Liu, Kwan‐Liu Ma
Abstract
Open-access reader
Masato Ogata, Shigeru Muraki, Xuezhen Liu, Kwan‐Liu Ma
Abstract
Open-access reader
An experimental study of software image compositing that we have carried out on a 512-node PC cluster shows the necessity of hardware compositing support to make possible real-time volume visualization scalable with large PC clusters. This paper describes the design and performance evaluation of such a hardware image compositing device. A PC cluster using such devices along with commodity graphics cards can enable simultaneous simulation and volume visualization.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
An experimental study of software image compositing that we have carried out on a 512-node PC cluster shows the necessity of hardware compositing support to make possible real-time volume visualization scalable with large PC clusters. This paper describes the design and performance evaluation of such a hardware image compositing device. A PC cluster using such devices along with commodity graphics cards can enable simultaneous simulation and volume visualization.
Key concepts: Compositing, Computer science, Volume rendering, Computer graphics (images), Rendering (computer graphics), Visualization, Volume (thermodynamics), Software