Seattle, WA, United States of America

Peter Grant Gavares


Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 99(Granted Patents)


Location History:

  • Seattle, WA (US) (2012 - 2018)
  • San Francisco, CA (US) (2016 - 2022)

Company Filing History:


Years Active: 2012-2022

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9 patents (USPTO):Explore Patents

Title: The Innovations of Peter Grant Gavares

Introduction

Peter Grant Gavares is a notable inventor based in Seattle, WA. He has made significant contributions to the field of data processing, holding a total of 9 patents. His work primarily focuses on enhancing the efficiency of data processing through innovative frameworks.

Latest Patents

One of Gavares' latest patents is titled "Dynamic Tree Determination for Data Processing." This invention allows data to be processed in parallel across a cluster of nodes using a parallel processing framework. By utilizing Web services calls between components, the number of nodes can be scaled as necessary. This flexibility enables developers to build applications on the framework using a Web services interface. A job scheduler works in conjunction with a queuing service to distribute jobs to nodes based on their capacity. This ensures that jobs can be performed in parallel as quickly as the nodes are able to process them. Additionally, data can be loaded efficiently across the cluster, and levels of nodes can be determined dynamically to process queries and other requests on the system.

Career Highlights

Peter Grant Gavares is currently employed at Amazon Technologies, Inc., where he continues to innovate and develop new technologies. His work has had a significant impact on the efficiency of data processing systems.

Collaborations

Gavares has collaborated with notable colleagues such as Ahmed A Badran and James E Scharf, Jr. These partnerships have contributed to the advancement of his projects and innovations.

Conclusion

Peter Grant Gavares is a distinguished inventor whose work in data processing has led to numerous patents and advancements in technology. His contributions continue to shape the future of data processing frameworks.

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