SBIR-STTR Award

Systolic ray tracing processor
Award last edited on: 12/19/14

Sponsored Program
SBIR
Awarding Agency
NASA : ARC
Total Award Amount
$250,000
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Simon K Fok

Company Information

Zeroone Systems Inc (AKA: Technology Development of CA )

2431 Mission College Blvd.
Santa Clara , CA 95054
   N/A
   N/A
   N/A
Location: Single
Congr. District: 17
County: Santa Clara

Phase I

Contract Number: 06.11-3030A
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
1985
Phase I Amount
$50,000
This project seeks to design an optimal systolic processor for the numerical solution of ray tracing algorithms. Ray tracing represents an important facet in the graphics world because it can simulate the effects of reflection, refraction, and shadows to produce images that possess a strikingly high degree of realism, not obtainable by other methods. Since ray tracing is very computational intensive, requiring huge amounts of CPU time even on a supercomputer such as the Cray X-MP, and because these algorithms are not generally amenable to vectorization, Systolic Arrays would be extremely effective in improving their execution. The key steps in the optimal design process are: 1. Identification and adaptation of ray tracing algorithms suitable for systolic implementation. 2. Identification of a basis of systolic modules for building a systolic ray tracer. 3. Synthesis of the fundamental set of systolic array modules into a ray tracing processor

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
1987
Phase II Amount
$200,000
___(NOTE: Note: no official Abstract exists of this Phase II projects. Abstract is modified by idi from relevant Phase I data. The specific Phase II work statement and objectives may differ)___ This project seeks to design an optimal systolic processor for the numerical solution of ray tracing algorithms. Ray tracing represents an important facet in the graphics world because it can simulate the effects of reflection, refraction, and shadows to produce images that possess a strikingly high degree of realism, not obtainable by other methods. Since ray tracing is very computational intensive, requiring huge amounts of CPU time even on a supercomputer such as the Cray X-MP, and because these algorithms are not generally amenable to vectorization, Systolic Arrays would be extremely effective in improving their execution. The key steps in the optimal design process are: 1. Identification and adaptation of ray tracing algorithms suitable for systolic implementation. 2. Identification of a basis of systolic modules for building a systolic ray tracer. 3. Synthesis of the fundamental set of systolic array modules into a ray tracing processor