Suwon-si, South Korea

Minhee Jo


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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2 patents (USPTO):Explore Patents

Title: Minhee Jo: Innovator in Task and Memory Allocation Technologies

Introduction

Minhee Jo, an accomplished inventor based in Suwon-si, South Korea, has made significant contributions to the fields of task distribution and memory allocation technologies. With a total of two patents to her name, Jo demonstrates a commitment to advancing the efficiency of multi-core processor systems.

Latest Patents

Minhee Jo's latest patents include a revolutionary "Task distribution method for minimizing preemption between tasks and apparatus for performing the same." This innovation involves a sophisticated approach to task arrangement, sequentially allocating offsets to tasks based on their execution periods, ensuring optimized performance.

Additionally, she holds a patent for a "Method and apparatus for memory allocation in a multi-core processor system, and recording medium therefor." This invention focuses on efficiently mapping tasks to cores within multi-core systems, allocating unshared and shared variables based on access counts to enhance system performance.

Career Highlights

Jo is associated with the Research and Business Foundation of Sungkyunkwan University, an institution known for its commitment to fostering innovation and research. Her contributions to the field demonstrate not only her technical skills but also her dedication to enhancing computing efficiencies.

Collaborations

Throughout her career, Minhee Jo has collaborated with notable colleagues, including Jaewook Jeon and Junyoung Moon. These partnerships underscore the collaborative spirit of innovation and research that drives advancements in technology.

Conclusion

Minhee Jo's work in task distribution and memory allocation showcases her ability to tackle complex problems and her commitment to improving technological systems. As she continues to innovate, her contributions will undoubtedly lead to further advancements in multi-core processing technologies, benefiting both academia and industry.

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