Company Filing History:
Years Active: 2015-2018
Title: Lin Gu - Innovator in Task Processing and Virtual Machine Technologies
Introduction
Lin Gu is a prominent inventor based in Hong Kong, China. He has made significant contributions to the field of computing, particularly in task processing methods and virtual machine technologies. With a total of two patents to his name, Lin Gu continues to push the boundaries of innovation in his field.
Latest Patents
Lin Gu's latest patents include a task processing method and a virtual machine. The task processing method involves selecting an idle resource for a task, creating a global variable snapshot, and executing the task in a private memory space. After the task execution, it acquires a new global variable snapshot and determines whether a synchronization variable of a to-be-executed task includes the current updated global variable. This innovative approach enhances the efficiency of task execution in computing systems. His second patent focuses on a task coordination apparatus in a computing system with distributed shared memory. This apparatus coordinates the execution of two related tasks, ensuring that the execution variable modified by the first task is utilized effectively by the second task.
Career Highlights
Lin Gu is currently employed at Huawei Technologies Co., Limited, a leading global provider of information and communications technology (ICT) infrastructure and smart devices. His work at Huawei has allowed him to develop and refine his innovative ideas, contributing to the company's reputation for cutting-edge technology.
Collaborations
Lin Gu has collaborated with notable coworkers, including Zhiqiang Ma and Yulong Zeng. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Lin Gu's contributions to task processing and virtual machine technologies exemplify his innovative spirit and dedication to advancing the field of computing. His patents reflect a deep understanding of complex systems and a commitment to improving efficiency in technology.
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