This inventor holds 1 USPTO granted patent. Top assignee: Beijing Bytedance Network Technology Co., Ltd.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Zhiyi Xia - Innovator in GPU Resource Allocation
Introduction
Zhiyi Xia is a prominent inventor based in Beijing, China. He has made significant contributions to the field of resource allocation in computing, particularly focusing on GPU resources. His innovative approach has led to the development of a unique patent that addresses the challenges of resource management in modern computing environments.
Latest Patents
Zhiyi Xia holds a patent titled "Method and apparatus for segmenting GPU resources into virtual processing resource types and allocating to different target tasks." This patent outlines a comprehensive method for resource allocation, which includes acquiring a target resource type corresponding to a target task, determining a specified resource type from a plurality of resource types, and allocating the target processor resource to the target task. This invention is crucial for optimizing the performance of electronic devices by efficiently managing GPU resources.
Career Highlights
Zhiyi Xia is currently employed at Beijing Bytedance Network Technology Co., Ltd. His work at this leading technology company has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in resource allocation technologies. His expertise in this area has positioned him as a valuable asset to his team and the broader tech community.
Collaborations
Zhiyi Xia collaborates with talented individuals such as Zongqiang Zhang and Sikai Qi. These partnerships enhance the innovative potential of their projects and foster a collaborative environment that drives technological advancements.
Conclusion
Zhiyi Xia is a notable inventor whose work in GPU resource allocation has the potential to transform how electronic devices manage processing resources. His contributions to the field are significant, and his patent reflects a deep understanding of the complexities involved in resource management.
