Statistics – Computation
Scientific paper
Aug 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4366..425m&link_type=abstract
Proc. SPIE Vol. 4366, p. 425-435, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing VI, Robert Lee Murrer; E
Statistics
Computation
Scientific paper
This paper describes advances in the development of IR/EO scene generation using the second generation Scene Rendering Subsystem (SRS). The SRS is a graphics rendering engine designed specifically to support real-time hardware-in-the- loop testing of IR/EO sensor systems. The SRS serves as an alternative to visual rendering systems, such as the Silicon GraphicsTM Infinite Reality, when IR/EO sensor fidelity requirements surpass the limits designed into visual rendering hardware. Last year a re-design of the SRS was completed. The new SRS architecture is highly programmable and can be configured to use up to 256 parallel processors. This paper will provide an overview of the second generation SRS architecture and discuss advances in the SRS rendering software that take advantage of the computational power inherent in the new system. The discussion will include a report on the maximum performance achieved by the system, and a description of new rendering modes that support IR/EO scene generation requirements.
Balke Sheila Z.
Howe Daniel B.
Makar Robert J.
Mroz Timothy T.
Nuwer Mark E.
No associations
LandOfFree
Optimizing a scene rendering subsystem for real-time IR/EO scene generation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Optimizing a scene rendering subsystem for real-time IR/EO scene generation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimizing a scene rendering subsystem for real-time IR/EO scene generation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-820160