Title:
GRAPHICS PROCESSING CHIP WITH MACHINE-LEARNING BASED SHADER
Document Type and Number:
WIPO Patent Application WO/2020/172043
Kind Code:
A3
Abstract:
Embodiments disclosed herein relate to a graphics processing chip for rendering computer graphics. The graphics processing chip may include a controller configured to manage operations of the graphics processing chip in accordance with a graphics-rendering pipeline. The operations may include geometry-processing operations, rasterization operations, and shading operations. The chip may further include programmable memory components configured to store a machine-learning model configured to perform at least a portion of the shading operations. The chip may also include a plurality of processing units configured to be selectively used to perform the shading operations in accordance with the machine-learning model. The chip may also include at least one output memory configured to store image data generated using the shading operations.
Inventors:
SCHIED CHRISTOPH (US)
KAPLANYAN ANTON (US)
KAPLANYAN ANTON (US)
Application Number:
PCT/US2020/018130
Publication Date:
October 01, 2020
Filing Date:
February 13, 2020
Export Citation:
Assignee:
FACEBOOK TECH LLC (US)
International Classes:
G06T15/00; G06N3/02; G06N20/00; G06T15/50
Foreign References:
| US20150193967A1 | 2015-07-09 |
Other References:
THU NGUYEN-PHUOC ET AL: "RenderNet: A deep convolutional network for differentiable rendering from 3D shapes", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 18 June 2018 (2018-06-18), XP081200596
STEVEN K. ESSER ET AL: "Convolutional networks for fast, energy-efficient neuromorphic computing", PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES, vol. 113, no. 41, 11 October 2016 (2016-10-11), pages 11441 - 11446, XP055346052, ISSN: 0027-8424, DOI: 10.1073/pnas.1604850113
MIKE DAVIES ET AL: "FEATURE ARTICLE: Neuromorphic Computing Loihi: A Neuromorphic Manycore Processor with On-Chip Learning Georgios Dimou Reduced Energy Microsystems", IEEE, 28 February 2018 (2018-02-28), XP055704102, Retrieved from the Internet [retrieved on 20200611]
"Real-Time Rendering: Chapter 2: The Graphics Rendering Pipeline", 1 January 2008, article TOMAS AKENINE-MÖLLER: "Real-Time Rendering: Chapter 2: The Graphics Rendering Pipeline", pages: 11 - 27, XP055704180
STEVEN K. ESSER ET AL: "Convolutional networks for fast, energy-efficient neuromorphic computing", PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES, vol. 113, no. 41, 11 October 2016 (2016-10-11), pages 11441 - 11446, XP055346052, ISSN: 0027-8424, DOI: 10.1073/pnas.1604850113
MIKE DAVIES ET AL: "FEATURE ARTICLE: Neuromorphic Computing Loihi: A Neuromorphic Manycore Processor with On-Chip Learning Georgios Dimou Reduced Energy Microsystems", IEEE, 28 February 2018 (2018-02-28), XP055704102, Retrieved from the Internet
"Real-Time Rendering: Chapter 2: The Graphics Rendering Pipeline", 1 January 2008, article TOMAS AKENINE-MÖLLER: "Real-Time Rendering: Chapter 2: The Graphics Rendering Pipeline", pages: 11 - 27, XP055704180
Attorney, Agent or Firm:
MOON, William, A. et al. (US)
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