Cambridge, MA, United States of America

Stephen J Tarsa

USPTO Granted Patents = 4 


 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 96(Granted Patents)


Location History:

  • Duxbury, MA (US) (2011)
  • Cambridge, MA (US) (2020 - 2021)

Company Filing History:


Years Active: 2011-2021

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4 patents (USPTO):

Title: The Innovations of Stephen J Tarsa

Introduction

Stephen J Tarsa is an accomplished inventor based in Cambridge, MA. He holds a total of 4 patents that showcase his expertise in microprocessor technology and machine learning applications. His work has significantly contributed to advancements in the field of computer engineering.

Latest Patents

One of Tarsa's latest patents focuses on reducing microprocessor power with minimal performance impact by dynamically adapting runtime operating configurations using machine learning. This innovative system on a chip includes a processor and memory components that work together to generate telemetry metadata, which is then analyzed by machine learning models to optimize processor performance. Another notable patent is for a prefetcher designed for delinquent irregular loads. This technology allows processors to identify and prefetch instructions that are likely to improve efficiency, thereby enhancing overall system performance.

Career Highlights

Throughout his career, Tarsa has worked with prominent organizations such as Intel Corporation and Wake Forest University. His experience in these institutions has allowed him to develop cutting-edge technologies that address critical challenges in computing.

Collaborations

Tarsa has collaborated with talented individuals in his field, including Gautham N Chinya and Errin Wesley Fulp. These partnerships have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Stephen J Tarsa's contributions to the field of microprocessor technology and machine learning are noteworthy. His patents reflect a commitment to innovation and a deep understanding of complex systems. His work continues to influence advancements in technology and engineering.

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