Oak Ridge, TN, United States of America

Vijay Thakkar

This inventor holds 1 USPTO granted patent. Top assignee: Ut-Battelle, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vijay Thakkar. Retrieved from https://idiyas.com/inventor/vijay-thakkar-lsmpz0qe

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Vijay Thakkar in High Performance Computing

Introduction

Vijay Thakkar is an accomplished inventor based in Oak Ridge, TN (US). He has made significant contributions to the field of high performance computing, particularly in the area of knowledge graph analytics. His work focuses on data mining large-scale corpora of scholarly publications, which is crucial for advancing research in various scientific domains.

Latest Patents

Vijay Thakkar holds a patent for "Knowledge graph analytics kernels in high performance computing." This patent introduces the Distributed Accelerated Semiring All-Pairs Shortest Path (DSNAPSHOT) algorithm. The DSNAPSHOT algorithm is designed for computing shortest paths of a knowledge graph using distributed-memory parallel computers that are accelerated by GPUs. This innovative approach allows for the analysis of connected input graphs with millions of vertices, utilizing a large number of graphics processing units, such as the 24,576 GPUs of the Oak Ridge National Laboratory's Summit supercomputer system. The DSNAPSHOT implementation achieves sustained performance of approximately 136 petaflops at a parallel efficiency of about 90% under weak scaling. This technology may enable the mining of scholarly knowledge corpora when integrated into artificial intelligence-driven natural language processing workflows at scale.

Career Highlights

Vijay Thakkar is currently employed at UT-Battelle, Inc., where he continues to push the boundaries of high performance computing. His work has been instrumental in developing algorithms that enhance the efficiency and effectiveness of data analysis in scientific research.

Collaborations

Vijay collaborates with notable colleagues, including Ramakrishnan Kannan and Piyush K Sao. Their combined expertise contributes to the advancement of innovative solutions in the field of computing.

Conclusion

Vijay Thakkar's contributions to high performance computing through his innovative patent and collaborative efforts highlight the importance of advancements in data mining and knowledge graph analytics. His work is paving the way for future research and applications in various scientific fields.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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