This inventor holds 1 USPTO granted patent. Top assignee: Synopsys, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Krishanu Debnath: Innovator in Graph Computation
Introduction
Krishanu Debnath is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of graph computation, particularly in the area of weakly connected components. His innovative approach has garnered attention in the tech community.
Latest Patents
Krishanu Debnath holds a patent for the "Computation of weakly connected components in a parallel, scalable and deterministic manner." This patent discloses a configuration designed to compute weakly connected components (WCCs) efficiently. The configuration processes an undirected original graph with vertices and edges, assigning an undefined value to all vertices initially. Each vertex is then visited and assigned a WCCID, which serves as an index to identify a WCC. The method addresses potential thread collisions, where multiple threads may attempt to identify the same WCC. A new collision graph is generated from these collisions, and the algorithm is iterated until no further collisions are detected. Finally, the WCCIDs of the collision graphs are merged to produce the WCCIDs of the original graph.
Career Highlights
Krishanu Debnath is currently employed at Synopsys, Inc., where he continues to develop innovative solutions in his field. His work has been instrumental in advancing computational methods and enhancing the efficiency of graph processing.
Collaborations
One of his notable collaborators is Olivier Coudert, with whom he has worked on various projects related to graph computation and algorithm development.
Conclusion
Krishanu Debnath's contributions to the field of graph computation exemplify the impact of innovative thinking in technology. His patent on weakly connected components showcases his ability to address complex computational challenges effectively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
