Bengaluru, India

Dhruvaraj Subhashchandran


Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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5 patents (USPTO):Explore Patents

Title: Dhruvaraj Subhashchandran: Innovator in Symmetric Multiprocessing Systems

Introduction

Dhruvaraj Subhashchandran is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of symmetric multiprocessing systems, holding a total of 5 patents. His work focuses on enhancing the efficiency and reliability of multiprocessor systems.

Latest Patents

One of his latest patents is titled "Symmetry management in multiprocessor systems." This invention involves a method for deconfiguring a set of processors in a symmetric multiprocessor (SMP) system following a failure of a processor. The goal is to return the SMP system to a symmetric state by identifying various deconfiguration options and calculating the respective costs for each option. A suitable deconfiguration option is then selected and applied based on these costs.

Another notable patent is "Symmetric multiprocessing management." This invention describes a process where a service processor firmware identifies different SMP topologies for a multi-node server. It detects error events related to the first topology and routes traffic using an alternative topology to maintain system functionality.

Career Highlights

Dhruvaraj Subhashchandran is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore innovative solutions in the realm of computing and processor management.

Collaborations

He has collaborated with notable coworkers, including Venkatesh Sainath and Jayanth Othayoth, contributing to various projects and advancements in technology.

Conclusion

Dhruvaraj Subhashchandran's contributions to symmetric multiprocessing systems demonstrate his commitment to innovation and excellence in technology. His patents reflect a deep understanding of complex systems and a drive to improve their performance and reliability.

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