Pittsburgh, PA, United States of America

Jun Yang


Average Co-Inventor Count = 3.7

ph-index = 1


Company Filing History:


Years Active: 2022-2025

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4 patents (USPTO):Explore Patents

Title: Innovations of Jun Yang

Introduction

Jun Yang is an accomplished inventor based in Pittsburgh, PA. He has made significant contributions to the field of data management, particularly in the context of memory systems. With a total of 4 patents, his work focuses on optimizing data access and migration between different memory types.

Latest Patents

One of Jun Yang's latest patents is titled "Method and apparatus for replacing data from near to far memory over a slow interconnect for oversubscribed irregular applications." This patent describes a data management method that distributes a working set between near and far memories. It involves migrating data based on a prefetcher algorithm and includes mechanisms for adaptive migration when memory capacity is reached.

Another notable patent is "Method and apparatus for adaptive page migration and pinning for oversubscribed irregular applications." This invention outlines a method for managing data during application execution in systems with host memory and near memory. It includes a dynamic access counter threshold to determine when to migrate data from far memory to near memory, enhancing the efficiency of data access.

Career Highlights

Jun Yang has worked at prestigious institutions such as the University of Pittsburgh and Hefei University of Technology. His experience in these organizations has allowed him to develop innovative solutions that address complex data management challenges.

Collaborations

Throughout his career, Jun Yang has collaborated with notable professionals, including Debashis Ganguly and Rami G Melhem. These collaborations have contributed to the advancement of his research and the development of his patents.

Conclusion

Jun Yang's contributions to data management through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the field and offers valuable insights into memory optimization.

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