Madison, WI, United States of America

Saisanthosh Balakrishnan

This inventor holds 1 USPTO granted patent. Top assignee: Wisconsin Alumni Research Foundation. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Saisanthosh Balakrishnan. Retrieved from https://idiyas.com/inventor/saisanthosh-balakrishnan

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Saisanthosh Balakrishnan: Inventor in Parallel Computing

Introduction

Saisanthosh Balakrishnan is an inventor associated with Madison, Wisconsin, and the Wisconsin Alumni Research Foundation. His work includes an approach to parallelizing sequential programs by examining how methods execute and interact.

Latest Patents

The available information identifies one patent associated with Balakrishnan: Data flow execution of methods in sequential programs. The invention describes making distant parallelization decisions at the boundaries between program methods, such as functions and subroutines. Its proposed partitioning approach aims to enable large-scale parallelization while avoiding data flow conflicts. Balakrishnan is credited with 1 patent in the information provided.

Career Highlights

Balakrishnan’s listed patent focuses on a challenge in computer systems: parallelizing sequential programs without introducing conflicts in data flow. The work explores method boundaries as a basis for deciding how program execution can be divided.

Collaborations

Balakrishnan’s listed coworker is Gurindar Singh Sohi. The patent information connects the invention with the Wisconsin Alumni Research Foundation.

Conclusion

Saisanthosh Balakrishnan’s patent presents a method-boundary approach to parallelizing sequential programs, with the goal of supporting large-scale execution while limiting data flow conflicts.

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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