This inventor holds 2 USPTO granted patents and 2 EPO patents. Top assignee: Google Inc.. Active years: 2018-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018-2023
Title: The Innovative Contributions of Clifford Hsiang Chao
Introduction
Clifford Hsiang Chao, located in Mountain View, CA, is an accomplished inventor renowned for his significant contributions to parallel processing technologies. With a total of two patents to his name, Chao has made strides in optimizing data processing methods that cater to large datasets of non-scalar data.
Latest Patents
Chao's latest patents focus on advanced methods and systems for parallel processing of reduction and broadcast operations. His patents encompass techniques for performing reduction of gradient vectors and similar data structures generated in parallel. These inventions are particularly relevant for nodes organized in complex topologies, such as mesh or torus configurations, which facilitate efficient computation and communication across nodes.
Career Highlights
Chao currently employs his expertise at Google Inc., a leading technology company recognized for its innovative approaches to data and computing. Through his work, he has contributed significantly to the development of state-of-the-art processing frameworks that enhance data handling capabilities in complex computational environments.
Collaborations
Within his work environment, Clifford has collaborated with notable colleagues including Ian Mclaren and Norman Paul Jouppi. These partnerships have undoubtedly enriched his projects, fostering an environment of innovation and creativity as they tackle the challenges of modern computing.
Conclusion
In summary, Clifford Hsiang Chao stands out as a forward-thinking inventor whose work on parallel processing methods has the potential to reshape how large datasets are managed and processed. His patents present innovative solutions that are not only applicable in research settings but also hold significant implications for industries relying on advanced computational technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
