Palo Alto, CA, United States of America

Doe Hyun Yoon

USPTO Granted Patents = 25 


 

Average Co-Inventor Count = 3.3

ph-index = 4

Forward Citations = 44(Granted Patents)


Location History:

  • Austin, TX (US) (2014 - 2015)
  • San Jose, CA (US) (2015 - 2020)
  • Palo Alto, CA (US) (2017 - 2020)
  • Foster City, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2014-2025

Loading Chart...
Loading Chart...
Loading Chart...
25 patents (USPTO):

Title: Doe Hyun Yoon: Innovator in Systolic Array Technology

Introduction

Doe Hyun Yoon is a prolific inventor based in Palo Alto, California, with an impressive portfolio of 24 patents that reflect his contributions to the field of technology. His innovative work focuses on enhancing the efficiency and accuracy of computational processes, particularly through the application of systolic arrays in deep neural networks.

Latest Patents

Among his latest patents, Yoon has developed two significant innovations: the "Multiplier and Adder in Systolic Array" and "Error Checking for Systolic Array Computation." The first patent describes systems and techniques for designing multiply-and-accumulate (MAC) units that can perform matrix multiplication more effectively by leveraging the inherent characteristics of systolic arrays. The method allows for the reuse of scalar values during the computation process, enhancing the overall performance of deep neural network accelerators. The second patent focuses on a computation unit that implements error detection mechanisms within the systolic array, allowing checksums to be computed and compared in real-time, thus ensuring accurate data processing without delaying operations.

Career Highlights

Doe Hyun Yoon has had an illustrious career, contributing his expertise to renowned companies such as Hewlett Packard Enterprise Development and Google Inc. His work in these organizations has significantly advanced the field of computational technology, particularly through his research and development of systems optimized for large-scale data processing tasks.

Collaborations

Throughout his career, Yoon has collaborated with esteemed colleagues, including Norman Paul Jouppi and Jichuan Chang. Their joint efforts have led to the development of groundbreaking techniques that push the boundaries of computational efficiency and accuracy, particularly in the realm of artificial intelligence and machine learning.

Conclusion

With a strong foundation in innovative technology and a commitment to advancing computational methodologies, Doe Hyun Yoon continues to make significant strides in the field. His patents not only demonstrate his technical prowess but also highlight the importance of collaboration and continuous improvement in the rapidly evolving landscape of technology.

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