Austin, TX, United States of America

Koustav Bhattacharya

USPTO Granted Patents = 4 


Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2018-2021

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4 patents (USPTO):Explore Patents

Title: Koustav Bhattacharya: Innovator in Matrix Processor Technology

Introduction

Koustav Bhattacharya is a prominent inventor based in Austin, TX, known for his significant contributions to the field of matrix processors. With a total of four patents to his name, he has made remarkable advancements in the performance of neural network convolution and floating-point operations in processor-based systems.

Latest Patents

Koustav's latest patents include innovative technologies that enhance the efficiency of matrix-processor-based devices. One of his notable inventions is a system for providing flexible matrix processors for performing neural network convolution. This technology allows a matrix processor to reorganize weight and input matrices into swizzled formats, enabling efficient convolution operations while maintaining flexibility for various dimensional requirements. Another significant patent focuses on providing efficient floating-point operations using matrix processors. This invention features a matrix processor equipped with positive and negative partial sum accumulators, which optimizes the processing of floating-point operands to generate accurate final sums.

Career Highlights

Koustav Bhattacharya is currently employed at Qualcomm Incorporated, where he continues to push the boundaries of technology in the field of matrix processing. His work has been instrumental in developing hardware solutions that leverage dimensional regularity for enhanced performance.

Collaborations

Koustav has collaborated with notable colleagues, including Colin Beaton Verrilli and Natarajan Vaidhyanathan, contributing to a dynamic and innovative work environment.

Conclusion

Koustav Bhattacharya's contributions to matrix processor technology exemplify his commitment to innovation and efficiency. His patents reflect a deep understanding of complex computational needs and a drive to enhance processing capabilities in modern devices.

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