Company Filing History:
Years Active: 2024
Title: The Innovative Contributions of Jikai Tang
Introduction
Jikai Tang is a notable inventor based in Mountain View, California, whose work focuses on enhancing the functionality of distributed computing systems. With one registered patent, he has made significant strides in the realm of computer science and technology, particularly in optimizing hardware accelerator performance.
Latest Patents
Jikai Tang’s patent, titled "Preflight Checks for Hardware Accelerators in a Distributed System," introduces methods, systems, and apparatus designed to improve preflight checks of distributed computing systems. The invention outlines a method that involves assigning computing workloads to a first subset of hardware accelerator machines, each featuring one or more hardware accelerators. Before executing the workload, a preflight check is conducted to verify the functionality of each machine in the subset. A code package tailored to the workload characteristics is installed, allowing for a sequence of operations that determines whether the task fails. If a failure occurs, the workload is re-assigned to a different subset of machines, ensuring operational efficiency and reliability.
Career Highlights
Jikai Tang currently works at Google Inc., a leading technology company renowned for its innovations and contributions to the tech landscape. His work revolves around the intersection of hardware acceleration and distributed computing, underscoring his role in pushing the boundaries of technological advancements.
Collaborations
At Google Inc., Jikai collaborates with talented colleagues, including Jiafan Zhu and Jianqiao Liu. Together, they contribute to a vibrant environment of innovation, developing cutting-edge solutions to address complex computational challenges.
Conclusion
Jikai Tang's inventive spirit and dedication to improving distributed systems through his patent highlight the critical role of inventors in advancing technology. His contributions not only benefit Google Inc. but also pave the way for future innovations in computing and hardware acceleration.