Seoul, South Korea

Byung-Gon Chun

USPTO Granted Patents = 7 

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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7 patents (USPTO):Explore Patents

Title: Byung-Gon Chun: Innovator in Accelerator Resource Management

Introduction

Byung-Gon Chun is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of accelerator resource management, holding a total of seven patents. His work focuses on enhancing the efficiency of neural network-related tasks through innovative methods and apparatus.

Latest Patents

One of his latest patents is an "Accelerator resource management method and apparatus." This invention involves receiving a task request for a neural network-related task and a resource scheduling policy. It also includes obtaining information on the current resource utilization status of an accelerator cluster and allocating resources based on utility. Another notable patent is the "Method and apparatus for lightweight and parallelization of accelerator task scheduling." This invention outlines a method for lightweight and parallel scheduling of accelerator tasks, which includes pre-running a deep learning model with sample input data to generate scheduling results.

Career Highlights

Throughout his career, Byung-Gon Chun has worked with notable companies such as Friendliai Inc. and Samsung Electronics Co., Ltd. His experience in these organizations has contributed to his expertise in accelerator technologies and resource management.

Collaborations

He has collaborated with talented individuals in the field, including Gyeongin Yu and Soojeong Kim. These collaborations have further enriched his work and innovations in accelerator resource management.

Conclusion

Byung-Gon Chun is a distinguished inventor whose work in accelerator resource management has led to significant advancements in the field. His innovative patents and collaborations highlight his commitment to improving neural network-related tasks.

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