San Jose, CA, United States of America

Manan Patel

USPTO Granted Patents = 18 

Average Co-Inventor Count = 8.0

ph-index = 3

Forward Citations = 86(Granted Patents)


Location History:

  • San Jose, CA (US) (2006 - 2024)
  • Santa Clara, CA (US) (2024)

Company Filing History:


Years Active: 2006-2025

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18 patents (USPTO):

Title: The Innovative Journey of Manan Patel

Introduction

Manan Patel is a prominent inventor based in San Jose, California. He has made significant contributions to the field of technology, holding a total of 17 patents. His work primarily focuses on systems and methods that enhance data processing and execution models.

Latest Patents

Among his latest patents, one notable invention is related to "Systems and methods for multicasting data." This patent describes a process where a first instruction to load data into a register file is received, followed by a second instruction for a different register file. These instructions are coalesced into a request coalescer entry, allowing for efficient data multicast from cache to multiple register files. Another significant patent is for "Cooperative group arrays," which introduces a new hierarchy level known as Cooperative Group Arrays (CGAs). This innovation provides a grid of thread blocks that enhance concurrency and data locality, improving the execution of applications on processors like GPUs.

Career Highlights

Manan Patel has worked with leading technology companies, including Nvidia Corporation and Intel Corporation. His experience in these organizations has allowed him to develop cutting-edge technologies that push the boundaries of data processing.

Collaborations

Throughout his career, Manan has collaborated with notable professionals in the industry, including Jack H Choquette and Shirish C Gadre. These collaborations have contributed to the advancement of his innovative projects.

Conclusion

Manan Patel's contributions to technology through his patents and collaborations highlight his role as a key innovator in the field. His work continues to influence advancements in data processing and execution models.

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