Beijing, China

Xiao Jun Dai

USPTO Granted Patents = 9 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 29(Granted Patents)


Location History:

  • Biejing, CN (2013)
  • Beijing, CN (2012 - 2018)

Company Filing History:


Years Active: 2012-2018

Loading Chart...
9 patents (USPTO):

Title: Innovations by Inventor Xiao Jun Dai

Introduction

Xiao Jun Dai, an accomplished inventor based in Beijing, China, has made significant contributions to the field of technology, particularly in managing cache memory systems. With a total of nine patents to his name, his innovative approaches continue to push the boundaries of what is possible in data management.

Latest Patents

Xiao Jun Dai's latest patents focus on enhancing the efficiency and reliability of data access. One notable patent involves developing locks to enable updating data and a data replacement order in cache areas. This invention manages access to cache memory by dividing it into multiple cache areas, each containing several entries. The innovation includes providing distinct lock attributes for each cache area, ensuring that only the processor thread in possession of the specific lock attribute can update that area. This robust mechanism enhances data integrity and access speed.

Career Highlights

Currently employed by the International Business Machines Corporation, commonly known as IBM, Xiao Jun Dai has positioned himself as an essential figure within the organization. His work exemplifies the cutting-edge research and development that IBM is renowned for, particularly in the realm of computing and data management.

Collaborations

Xiao Jun Dai often collaborates with other talented professionals, including Zhi Gan and Rui Han. These partnerships strengthen the innovative efforts within IBM, allowing them to combine their expertise and drive forward groundbreaking technologies.

Conclusion

Xiao Jun Dai continues to inspire through his inventive prowess and dedication to advancing cache memory management. His patents not only contribute to the technological landscape but also pave the way for future innovations in data systems. The collaboration with his colleagues further amplifies the impact of his work, ensuring that the advancements in this field continue to evolve.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…