Shanghai, China

Peiqing Jiang

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Intel Corporation. Active years: 2024-2026.

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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2 patents (USPTO):Explore Patents

Title: Peiqing Jiang: Innovator in Data Priority Management

Introduction

Peiqing Jiang is a notable inventor based in Shanghai, China. He has made significant contributions to the field of data management, particularly in the area of cache systems. His innovative approach focuses on dynamically changing data priority, which enhances the efficiency of memory access.

Latest Patents

Peiqing Jiang holds a patent titled "Methods and apparatuses for dynamically changing data priority in a cache." This invention is directed towards methods and apparatuses that allow for the dynamic adjustment of data priority in cache systems. The apparatus includes a priority controller that receives memory access requests and sets priority flags based on the accumulated access amount of data stored in a memory block. This innovation aims to optimize the priority level of requested data, thereby improving overall system performance.

Career Highlights

Peiqing Jiang is currently employed at Intel Corporation, a leading technology company known for its advancements in semiconductor manufacturing and computing technologies. His work at Intel has allowed him to explore and develop cutting-edge technologies that address modern computing challenges.

Collaborations

Throughout his career, Peiqing Jiang has collaborated with talented individuals such as Xiaodong Qiu and Yong Jiang. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Peiqing Jiang's contributions to the field of data management through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the way data is prioritized and accessed in modern computing systems.

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