Mountain View, CA, United States of America

Nicholas J Foskett

This inventor holds 19 USPTO granted patents and 1 EPO patent, primarily in Graphics Processing. Top assignees: Nvidia Corporation, Adobe, Inc.. Active years: 1997-2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nicholas J Foskett. Retrieved from https://idiyas.com/inventor/nicholas-j-foskett

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0


Average Co-Inventor Count = 4.7

ph-index = 13

Forward Citations = 836(Granted Patents)


Location History:

  • Mt. View, CA (US) (1999)
  • Mountain View, CA (US) (1997 - 2006)
  • Adelaide, AU (2006 - 2010)

Company Filing History:


Years Active: 1997-2010

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Areas of Expertise:
Graphics Processing Unit
High Bandwidth Memory
Rasterization Techniques
Single Semiconductor Platform
Blending Operations
Fog Capabilities
Pipelined Operations
Data Compression
Display Data Storage
Clipping Systems
Scissor Operations
Parameter Selection
19 patents (USPTO):Explore Patents

Title: **Nicholas J Foskett: Innovator in Pipelined Processing Technologies**

Introduction

Nicholas J Foskett is a prominent inventor based in Mountain View, CA, known for his significant contributions to the field of pipelined processing technologies. With a remarkable portfolio of 19 patents, he has made substantial advancements that enhance the performance and efficiency of integrated circuits in processors.

Latest Patents

Foskett's latest patents showcase his expertise in optimizing processor configurations. One notable patent is a "Method and system for selecting a set of parameters," which involves selecting parameters from a parameter space of a pipelined processor. This invention aims to configure the processor in such a way that it generates accurate output words in response to input words while minimizing the area of the integrated circuit implementation. The invention includes a systematic mapping and searching of the parameter space, ensuring that the output meets specified formatting and precision constraints.

Another significant patent is the "Method and system for performing pipelined reciprocal and reciprocal square root operations." This invention includes a pipelined circuit capable of generating Taylor's series approximations for reciprocal functions. By preloading the circuit with a predetermined set of Taylor's series coefficients, the patent addresses the performance of graphics data processing, further enhancing the speed and accuracy of operations in pipelined graphics processors.

Career Highlights

Foskett has had an impressive career trajectory, contributing his talents to esteemed companies in the technology sector. He has worked at Nvidia Corporation, where his work on advanced graphics processing capabilities helped to shape products that leverage sophisticated computational techniques. Additionally, at Adobe Systems Inc., he played a key role in developing software solutions with innovative processing elements.

Collaborations

Throughout his career, Foskett has collaborated with notable professionals in the field, including Douglas A Voorhies and Matthew Nicholas Papakipos. These collaborations have led to groundbreaking innovations, enriching the development of advanced processing methodologies and enhancing the overall capabilities of integrated circuits.

Conclusion

Nicholas J Foskett stands out as a key figure in the innovation landscape of pipelined processing technologies. With an impressive array of patents that reflect his deep understanding and creativity, he continues to influence the advancement of integrated circuits and processing systems. His work not only contributes to the technical community but also inspires future innovations in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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