San Jose, CA, United States of America

Jing Han

USPTO Granted Patents = 4 

Average Co-Inventor Count = 12.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Jing Han in Matrix Multiplication Technology

Introduction

Jing Han is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of compute processing, particularly in the area of matrix multiplication. With a total of four patents to his name, Han's work is recognized for its innovative approaches to enhancing computational efficiency.

Latest Patents

One of Jing Han's latest patents focuses on performing matrix multiplication in a streaming processor. This patent outlines methods and apparatus designed to improve the performance of matrix multiplication. The disclosed techniques involve executing load instructions to transfer input data and weight data from memory, followed by performing matrix multiplication using an ALU component. The output matrix generated from this operation is then stored in a general-purpose register accessible to the ALU component. This innovation represents a significant advancement in compute processing technology.

Career Highlights

Jing Han is currently employed at Qualcomm Incorporated, a leading technology company known for its advancements in telecommunications and computing. His work at Qualcomm has allowed him to apply his expertise in matrix multiplication and contribute to the development of cutting-edge technologies.

Collaborations

Throughout his career, Jing Han has collaborated with talented individuals such as Yun Du and Fei Wei. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Jing Han's contributions to matrix multiplication technology exemplify the spirit of innovation in the field of compute processing. His patents and work at Qualcomm Incorporated highlight his commitment to advancing technology and improving computational efficiency.

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