Ridgewood, NJ, United States of America

Mary D Byron


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2013-2017

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2 patents (USPTO):Explore Patents

Title: Innovations by Mary D Byron

Introduction

Mary D Byron is an accomplished inventor based in Ridgewood, NJ (US). She has made significant contributions to the field of technology, particularly in the area of application task allocation. With a total of 2 patents to her name, her work demonstrates a commitment to enhancing processing efficiency in computing systems.

Latest Patents

Mary D Byron's latest patents focus on systems and methods to allocate application tasks to a pool of processing machines. These innovative systems allow a requestor to generate a scope request that includes an indication of the number of compute units to be reserved. The requestor also provides an application request associated with the scope. A subset of available processing machines is allocated to the scope, and the application request is divided into various tasks. Each task is assigned to a processing machine that has been allocated to the application request. Additionally, each task is associated with a deadline, and an overall cost is determined and allocated to the requestor based on the number of compute units reserved for the scope.

Career Highlights

Mary D Byron is currently employed at Goldman Sachs & Company, where she applies her expertise in technology and innovation. Her role involves developing advanced systems that improve operational efficiency and task management within the organization.

Collaborations

Some of her notable coworkers include Jay S Dweck and Michael Fellows, who contribute to the collaborative environment that fosters innovation at Goldman Sachs & Company.

Conclusion

Mary D Byron's contributions to technology through her patents and work at Goldman Sachs & Company highlight her role as a leading inventor in the field of application task allocation. Her innovative systems are paving the way for more efficient processing in computing environments.

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