Boston, MA, United States of America

Girish Venkataramani



Average Co-Inventor Count = 2.3

ph-index = 9

Forward Citations = 223(Granted Patents)


Location History:

  • Boston, MA (US) (2013 - 2019)
  • Cambridge, MA (US) (2014 - 2021)

Company Filing History:


Years Active: 2013-2021

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22 patents (USPTO):Explore Patents

Title: **Innovative Contributions of Girish Venkataramani in Deep Learning Technologies**

Introduction

Girish Venkataramani is a prominent inventor based in Boston, MA, recognized for his significant contributions in the realm of deep learning technologies. With an impressive portfolio of 22 patents, he has dedicated his career to enhancing the efficiency and effectiveness of programmable logic devices and parallel processing units.

Latest Patents

His recent innovations include groundbreaking patents such as "Systems and methods for configuring programmable logic devices for deep learning networks." This invention focuses on creating architecture and algorithmic code to optimize the performance of deep learning networks by efficiently configuring processing cores and utilizing memory effectively. Furthermore, his patent on "Systems and methods for generating code for parallel processing units" aims at transforming source programs into executable code on Graphics Processing Units (GPUs), enhancing parallel processing through optimizations and streamlined memory transfers.

Career Highlights

Girish currently works at The MathWorks, Inc., a leading company in mathematical computing software. His work at MathWorks emphasizes advancing technology in deep learning and parallel processing, contributing significantly to the field of computational solutions.

Collaborations

Throughout his career, Girish has collaborated with notable colleagues, including Yongfeng Gu and Kiran K Kintali. These collaborations have fostered a dynamic exchange of ideas and innovations, further propelling advancements in their shared domain.

Conclusion

Girish Venkataramani's dedication to innovation and excellence in the development of deep learning technologies positions him as a key figure in the tech industry. His numerous patents not only reflect his inventive spirit but also pave the way for future advancements in computational efficiency and effectiveness.

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