This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Intel Corporation. Active years: 2018.
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
Title: Innovations of Lawrence J Sun
Introduction
Lawrence J Sun is a notable inventor based in Beaverton, OR (US). He has made significant contributions to the field of computing through his innovative patent. His work focuses on enhancing data flow programming, which is crucial for efficient computing processes.
Latest Patents
Lawrence J Sun holds a patent titled "Data flow programming of computing apparatus with vector estimation-based graph partitioning." This patent describes a spectral graph partitioner (SP) that partitions a data flow graph associated with a program into multiple subgraphs for analysis or debugging. The SP generates estimated eigenvectors for a matrix representing the graph by minimizing a function on the vectors. It can produce multiple eigenvectors to facilitate clustering in a multi-dimensional space. The SP refines clustering by generating eigenvectors for higher-dimensional spaces and determining quality metrics for the clusters. The graph partitioning system (GPS) can choose between using the SP or other partitioners based on factors like graph size or quality metrics.
Career Highlights
Lawrence J Sun is currently employed at Intel Corporation, where he continues to innovate and contribute to advancements in computing technology. His work at Intel has allowed him to collaborate with other talented professionals in the field.
Collaborations
One of his notable coworkers is Vasanth R Tovinkere, with whom he has likely shared insights and expertise in their projects.
Conclusion
Lawrence J Sun's contributions to data flow programming and graph partitioning exemplify the innovative spirit that drives advancements in technology. His patent reflects a deep understanding of computational processes and a commitment to improving them.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
