San Jose, CA, United States of America

Sankaranarayanan Srinivasan


Average Co-Inventor Count = 2.5

ph-index = 7

Forward Citations = 139(Granted Patents)


Location History:

  • Longmont, CO (US) (2006)
  • Boulder, CO (US) (2006 - 2008)
  • San Jose, CA (US) (2009 - 2023)

Company Filing History:


Years Active: 2006-2023

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17 patents (USPTO):Explore Patents

Title: Sankaranarayanan Srinivasan: A Pioneer in Machine Learning and Compiler Design

Introduction

Sankaranarayanan Srinivasan, an accomplished inventor based in San Jose, CA, has made significant strides in the field of machine learning and compiler design. With a remarkable portfolio of 17 patents, he continues to push the boundaries of innovation in technology.

Latest Patents

Among his latest inventions is a machine-learning enhanced compiler, which focuses on enhancing the compilation process of circuit designs. This method involves storing a base model generated from base data and utilizing training data derived from compiling circuit designs. The innovation also includes generating a tuned model using this training data and creating a hybrid model that incorporates both the training and base data. Furthermore, it introduces the concept of biasing these models using a selected cost function to improve accuracy and efficiency. Another significant patent also revolves around a machine-learning enhanced compiler, where Sankaranarayanan outlines a method for generating a netlist for circuit designs. This method employs a first machine learning model to predict compile time and utilizes a second model to determine an effective place-and-route strategy, subsequently adjusting the logic of the circuit design accordingly.

Career Highlights

Sankaranarayanan has contributed his expertise to notable companies, including Xilinx, Inc. and Synopsys, Inc. His work at these leading firms highlights his commitment to advancing the technology behind circuit design and machine learning. Through his innovative contributions, he has provided transformative solutions that enhance the efficiency and efficacy of electronic designs.

Collaborations

During his career, Sankaranarayanan has collaborated with talented professionals, including coworkers Daniel J. Downs and Raymond Kong. These partnerships have fostered a collaborative environment that has spurred further innovation and development in their respective fields.

Conclusion

Sankaranarayanan Srinivasan stands as a pivotal figure in the realm of machine learning and compiler design. With a strong foundation built on innovative patents and contributions to renowned companies, he continues to inspire future advancements in technology. His work not only contributes to the present landscape but sets a precedent for future developments in the industry.

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