Mountain View, CA, United States of America

Ashish Farmer


 

Average Co-Inventor Count = 2.6

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2017)
  • Mountain View, CA (US) (2021 - 2022)

Company Filing History:


Years Active: 2017-2022

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3 patents (USPTO):Explore Patents

Title: Ashish Farmer: Innovator in Video Decoding Technologies

Introduction

Ashish Farmer is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of video decoding technologies, holding a total of 3 patents. His work primarily focuses on enhancing the efficiency of video processing through innovative methods and apparatus.

Latest Patents

Farmer's latest patents include groundbreaking methods and apparatus for decoding video using a re-ordered motion vector buffer. This technology involves a host processor, such as a central processing unit (CPU), that is programmed to execute a software driver. This driver enables the host processor to generate a motion compensation command for multiple cores of a massively parallel processor, such as a graphics processing unit (GPU). The motion compensation command contains executable instructions for processing a plurality of motion vectors grouped by various prediction modes from a re-ordered motion vector buffer.

Career Highlights

Ashish Farmer is currently employed at Advanced Micro Devices Corporation, where he continues to innovate in the field of video processing. His work has been instrumental in advancing the capabilities of video decoding technologies, making them more efficient and effective.

Collaborations

Farmer has collaborated with notable colleagues, including Michael L Schmit and Radhakrishna Giduthuri, contributing to various projects that enhance video processing technologies.

Conclusion

Ashish Farmer's contributions to video decoding technologies through his patents and work at Advanced Micro Devices Corporation highlight his role as a key innovator in the field. His advancements continue to shape the future of video processing.

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