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For the Inventor, By the Inventor

Livermore, CA, United States of America

Brian K Caufield

USPTO Granted Patents = 15

Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 31(Granted Patents)


Company Filing History:

goldMedal15 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2010-2018

where 'Filed Patents' based on already Granted Patents

15 patents (USPTO):
1. 9996389 - Dynamic optimization of workload execution based on statistical data collection and updated job profiling (2018-06-12),
2. 9990412 - Data driven parallel sorting system and method (2018-06-05),
3. 9983906 - Dynamic optimization of workload execution based on statistical data collection and updated job profiling (2018-05-29),
4. 9817700 - Dynamic data partitioning for optimal resource utilization in a parallel data processing system (2017-11-14),
5. 9811384 - Dynamic data partitioning for optimal resource utilization in a parallel data processing system (2017-11-07),
6. 9733984 - Multiple stage workload management system (2017-08-15),
7. 9652308 - Sharing a partitioned data set across parallel applications (2017-05-16),
8. 9575916 - Apparatus and method for identifying performance bottlenecks in pipeline parallel processing environment (2017-02-21),
9. 9542246 - Sharing a partitioned data set across parallel applications (2017-01-10),
10. 9424160 - Detection of data flow bottlenecks and disruptions based on operator timing profiles in a parallel processing environment (2016-08-23),
11. 9304816 - Multiple stage workload management system (2016-04-05),
12. 9298596 - Test framework for computing jobs (2016-03-29),
13. 9262210 - Light weight workload management server integration (2016-02-16),
14. 9110575 - Method and system for graphically emphasizing a path through a diagram (2015-08-18),
15. 7721279 - Packaging information integration applications (2010-05-18),

Title: Brian K Caufield: Innovator in Data Processing Technologies

Introduction

Brian K Caufield is a prominent inventor based in Livermore, CA (US). He has made significant contributions to the field of data processing, holding a total of 15 patents. His work focuses on optimizing workload execution and enhancing data sorting methods, which are crucial in today's data-driven environment.

Latest Patents

Among his latest patents, one notable invention is titled "Dynamic optimization of workload execution based on statistical data collection and updated job profiling." This patent presents techniques for optimizing parallel data flows of a batch processing job using a profile of the processing job. The application retrieves a job profile that includes statistical data for processing stages obtained during prior executions. By modifying properties of the execution profile based on this job profile, the application optimizes the execution of the job.

Another significant patent is the "Data driven parallel sorting system and method." This invention outlines a method for distributing input data records to multiple partitions in a circular manner. Each partition corresponds to a parallel sorting process, and the method includes sorting current data records in respective memory chunks. The process ensures that sorted data records are efficiently written into mass storage, enhancing the overall data processing efficiency.

Career Highlights

Brian K Caufield is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop advanced data processing technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of his notable coworkers include Xiaoyan Pu and Ron E Liu, who have also contributed to various projects within the company. Their collaborative efforts have further advanced the capabilities of data processing technologies.

Conclusion

Brian K Caufield's contributions to data processing through his innovative patents have significantly impacted the industry. His work continues to pave the way for advancements in optimizing workload execution and data sorting methods.

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