Bengaluru, India

Ravi Shreyas Anupindi


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Ravi Shreyas Anupindi

Introduction

Ravi Shreyas Anupindi is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of technology, particularly in the management of workloads on accelerator devices. His innovative approach has led to the development of a unique patent that addresses the challenges faced in multi-worker environments.

Latest Patents

Ravi holds a patent titled "Elastically managing workers of multi-worker workloads on accelerator devices." This patent describes a method for elastically managing the execution of workers in multi-worker workloads. The process involves executing a first worker on an accelerator device during a specified time interval, identifying context switch points, and managing memory states to optimize performance. This innovative solution enhances the efficiency of collective communication operations among workers, ultimately improving workload management.

Career Highlights

Ravi Shreyas Anupindi is currently associated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technological innovation. His work focuses on developing advanced solutions that leverage accelerator devices for better performance in multi-worker scenarios. With a keen understanding of technology and a passion for innovation, Ravi has established himself as a valuable asset in his field.

Collaborations

Ravi collaborates with fellow inventor Srinidhi Viswanatha, working together to explore new ideas and enhance their contributions to technology. Their partnership exemplifies the spirit of innovation and teamwork in the tech industry.

Conclusion

Ravi Shreyas Anupindi's contributions to the field of technology through his patent and work at Microsoft Technology Licensing, LLC highlight his commitment to innovation. His efforts in managing multi-worker workloads on accelerator devices pave the way for more efficient technological solutions.

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