David Rigel Garcia Garcia

USPTO Granted Patents = 14 (Patent Applications = 2)

Average Co-Inventor Count = 3.2

ph-index = 5

Forward Citations = 97(Granted Patents)

Location History:

Ontario, CA (US) (2014)
Toronto, CA (US) (2015)
Toronto, CA (2015 - 2017)
North York, CA (US) (2017)
North York, CA (2018 - 2022)

Company Filing History:

13 out of 41,326

Qualcomm Incorporated

Years Active: 2014-2024

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14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12141689 - Data compression for a neural network (2024-11-12),

2. 11222397 - Foveated rendering in tiled architectures (2022-01-11),

3. 10410313 - Dynamic foveation adjustment (2019-09-10),

4. 10282813 - Flex rendering based on a render target in graphics processing (2019-05-07),

5. 10255106 - Prediction-based power management strategy for GPU compute workloads (2019-04-09),

6. 10210593 - Adaptive context switching (2019-02-19),

7. 10134103 - GPU operation algorithm selection based on command stream marker (2018-11-20),

8. 9928565 - Flex rendering based on a render target in graphics processing (2018-03-27),

9. 9799089 - Per-shader preamble for graphics processing (2017-10-24),

10. 9645866 - Inter-processor communication techniques in a multiple-processor computing platform (2017-05-09),

11. 9626234 - Inter-processor communication techniques in a multiple-processor computing platform (2017-04-18),

12. 9134954 - GPU memory buffer pre-fetch and pre-back signaling to avoid page-fault (2015-09-15),

13. 8937622 - Inter-processor communication techniques in a multiple-processor computing platform (2015-01-20),

14. 8832417 - Program flow control for multiple divergent SIMD threads using a minimum resume counter (2014-09-09),

Title: David Rigel Garcia Garcia: Innovator in Data Compression and Rendering Technologies

Introduction

David Rigel Garcia Garcia is a prominent inventor based in North York, Canada. He has made significant contributions to the fields of data compression and graphics rendering, holding a total of 14 patents. His innovative work has been recognized in various industries, particularly in technology and computing.

Latest Patents

Among his latest patents, one notable invention is related to data compression for neural networks. This patent outlines systems and methods for generating a representative value of a data set by first compressing a portion of values to determine a first common value. It further compresses a subset of these values to establish a second common value. The representative value is derived from the difference between these two common values, which corresponds to a mathematical relationship among the values in the subset. This method requires less storage than the original common values, showcasing an efficient approach to data management.

Another significant patent by Garcia Garcia focuses on foveated rendering in tiled architectures. This innovation describes how a graphics processing unit (GPU) can render image content for each tile at varying sizes during the rendering pass. After a binning pass, the GPU determines the tile assignments for vertices of primitives. It then upsamples the rendered image content based on the size at which it was rendered, ultimately outputting the upsampled content for display. This technique enhances the efficiency and quality of graphics rendering.

Career Highlights

David has worked with leading technology companies, including Qualcomm Incorporated and Nvidia Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Throughout his career, David has collaborated with notable professionals in the field, including Colin Christopher Sharp and Alexei Vladimirovich Bourd. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

David Rigel Garcia Garcia is a distinguished inventor whose work in data compression and rendering technologies has made a significant impact in the tech industry. His innovative patents reflect his commitment to advancing technology and improving efficiency in data management and graphics rendering.

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