Company Filing History:
Years Active: 2014-2017
Title: Innovations of John McInerney
Introduction
John McInerney is a notable inventor based in La Mesa, California. He has made significant contributions to the field of database technology, holding three patents to his name. His work focuses on enhancing the efficiency of database queries through innovative methods and systems.
Latest Patents
One of John McInerney's latest patents is centered around executing database queries using multiple processors. This patent describes a system and method for efficiently executing database queries utilizing a computing device that includes a central processing unit (CPU) and a processing unit based on single instruction multiple thread (SIMT) architecture, such as a GPU. The query engine in this system determines the optimal processing unit for executing a database query based on various factors, including the type and amount of data processed, the complexity of the query, and the current load on the processing units. An intermediate executable representation generator creates an intermediate executable representation for executing a query on a database virtual machine. If the query engine identifies that the database query should be executed on an SIMT-based processing unit, a native code generator produces native code from the intermediate executable representation, which is optimized for execution on a specific processing unit.
Career Highlights
Throughout his career, John McInerney has worked with several prominent companies, including Mellmo, Inc. and SAP SE. His experience in these organizations has contributed to his expertise in database technologies and innovations.
Collaborations
Some of John McInerney's notable coworkers include Santiago Becerra and Alex C. Schaefer. Their collaboration has likely played a role in advancing the projects they have worked on together.
Conclusion
John McInerney's contributions to database technology through his patents and career experiences highlight his innovative spirit and dedication to improving data processing methods. His work continues to influence the field and inspire future advancements.