NDLI: Real time radiosity through parallel processing and hardware acceleration

Content Provider	ACM Digital Library
Author	Baum, Daniel R. Winget, James M.
Abstract	This paper describes a novel implementation of the progressive refinement radiosity algorithm. Algorithm performance is greatly enhanced using the capabilities of a multiprocessor graphics workstation. Hemi-cube item buffers are produced using the graphics hardware while the remaining computations are performed in parallel on the multiple host processors. Speedups of a factor of 40 or more over the equivalent software implementation are observed. Load balancing issues are discussed and a system performance model is developed based on actual results.Additionally, a new user interface scheme is presented where the radiosity calculations and walk-through tasks are separated. At each new iteration, the radiosity algorithm automatically updates colors used by the viewing program via shared memory while simultaneously obtaining hints on where to further refine the solution.
Starting Page	67
Ending Page	75
Page Count	9
File Format	PDF
ISBN	0897913515
DOI	10.1145/91385.91420
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1990-02-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Real time radiosity through parallel processing and hardware acceleration