Growing community of inventors

San Jose, CA, United States of America

Rangharajan Venkatesan

Average Co-Inventor Count = 4.43

ph-index = 1

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 2

Rangharajan VenkatesanBrucek Kurdo Khailany (10 patents)Rangharajan VenkatesanWilliam James Dally (8 patents)Rangharajan VenkatesanJoel S Emer (3 patents)Rangharajan VenkatesanStephen William Keckler (3 patents)Rangharajan VenkatesanYakun Shao (3 patents)Rangharajan VenkatesanSteve Haihang Dai (3 patents)Rangharajan VenkatesanHaoxing Ren (2 patents)Rangharajan VenkatesanBrian Matthew Zimmer (2 patents)Rangharajan VenkatesanDaniel Smith (2 patents)Rangharajan VenkatesanMiaorong Wang (2 patents)Rangharajan VenkatesanStephen G Tell (1 patent)Rangharajan VenkatesanNan Jiang (1 patent)Rangharajan VenkatesanMatthew Rudolph Fojtik (1 patent)Rangharajan VenkatesanJason Lavar Clemons (1 patent)Rangharajan VenkatesanCharbel Sakr (1 patent)Rangharajan VenkatesanNathaniel Pinckney (1 patent)Rangharajan VenkatesanRangharajan Venkatesan (10 patents)Brucek Kurdo KhailanyBrucek Kurdo Khailany (33 patents)William James DallyWilliam James Dally (204 patents)Joel S EmerJoel S Emer (54 patents)Stephen William KecklerStephen William Keckler (42 patents)Yakun ShaoYakun Shao (4 patents)Steve Haihang DaiSteve Haihang Dai (3 patents)Haoxing RenHaoxing Ren (44 patents)Brian Matthew ZimmerBrian Matthew Zimmer (11 patents)Daniel SmithDaniel Smith (2 patents)Miaorong WangMiaorong Wang (2 patents)Stephen G TellStephen G Tell (27 patents)Nan JiangNan Jiang (14 patents)Matthew Rudolph FojtikMatthew Rudolph Fojtik (8 patents)Jason Lavar ClemonsJason Lavar Clemons (2 patents)Charbel SakrCharbel Sakr (1 patent)Nathaniel PinckneyNathaniel Pinckney (1 patent)
..
Inventor’s number of patents
..
Strength of working relationships

Company Filing History:

1. Nvidia Corporation (10 from 5,333 patents)


10 patents:

1. 12412082 - Fine-grained per-vector scaling for neural network quantization

2. 12406169 - Optimally clipped tensors and vectors

3. 12387089 - Efficient neural network accelerator dataflows

4. 12141225 - Inference accelerator using logarithmic-based arithmetic

5. 12118454 - Neural network accelerator using logarithmic-based arithmetic

6. 12045307 - Fine-grained per-vector scaling for neural network quantization

7. 12033060 - Asynchronous accumulator using logarithmic-based arithmetic

8. 11886980 - Neural network accelerator using logarithmic-based arithmetic

9. 11769040 - Scalable multi-die deep learning system

10. 11270197 - Efficient neural network accelerator dataflows

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10/29/2025
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