Pickering, Canada

John D Keenleyside


Average Co-Inventor Count = 3.4

ph-index = 4

Forward Citations = 54(Granted Patents)


Location History:

  • Ontario, CA (2000)
  • Pickering, CA (2007 - 2019)
  • Aurora, CA (2018 - 2019)

Company Filing History:


Years Active: 2000-2019

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: The Innovations of John D Keenleyside

Introduction

John D Keenleyside is a notable inventor based in Pickering, Canada. He has made significant contributions to the field of technology, particularly in the optimization of database processing and machine learning workloads. With a total of six patents to his name, Keenleyside's work has had a profound impact on the efficiency of data processing.

Latest Patents

Keenleyside's latest patents include "Fast query processing in columnar databases with GPUs." This patent outlines a method for processing queries associated with databases, which involves estimating the number of groups, copying data to GPU memory, and creating a hash table for efficient data retrieval. Another significant patent is "Pipelined approach to fused kernels for optimization of machine learning workloads on graphical processing units." This invention focuses on optimizing machine learning workloads by identifying computation patterns and performing hierarchical aggregation across the GPU's memory hierarchy.

Career Highlights

Keenleyside is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop cutting-edge technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

Some of his notable coworkers include Sunil Jeevananda Kamath and Kajatheepan Kanagaratnam. Their collaborative efforts have led to advancements in various technological domains, showcasing the power of teamwork in innovation.

Conclusion

John D Keenleyside's contributions to technology through his patents and work at IBM highlight his role as a significant inventor in the field. His innovative approaches to database processing and machine learning optimization continue to influence the industry.

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