San Diego, CA, United States of America

Yu Xu

USPTO Granted Patents = 23 

Average Co-Inventor Count = 1.7

ph-index = 7

Forward Citations = 139(Granted Patents)


Location History:

  • Burlingame, CA (US) (2014 - 2016)
  • San Diego, CA (US) (2011 - 2019)

Company Filing History:


Years Active: 2011-2019

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23 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Yu Xu in Parallel Processing Technologies

Introduction: Yu Xu, based in San Diego, CA, has made significant contributions to the field of parallel processing through his innovative inventions. With 23 patents to his name, Xu's work is primarily focused on optimizing query processing systems, thereby enhancing data management efficiency in various applications.

Latest Patents: Among his latest patents, Xu's inventions include a system and method for optimizing the processing of group-by queries that feature maximum or minimum equality conditions. This invention simplifies the traditional approach by allowing a single scan of the table for processing, where processing modules dynamically track rows of interest without the need for rescanning. Another noteworthy patent addresses the optimization of multiple-parallel join operations on skewed data. This technique efficiently manages skewed data during parallel join operations by redistributing and comparing join columns, ensuring a more streamlined processing experience.

Career Highlights: Throughout his career, Yu Xu has worked with renowned companies in the industry, notably Teradata US, Inc. and Teradata Corporation. His role in these organizations has involved developing and implementing cutting-edge technologies that push the boundaries of data processing capabilities.

Collaborations: Xu has collaborated with notable individuals in the field, including Olli Pekka Kostamaa and O Pekka Kostamaa. These collaborations have contributed to advancing the methodologies and technologies associated with parallel processing systems.

Conclusion: Yu Xu's innovative spirit and extensive patent portfolio reflect his commitment to enhancing parallel processing technologies. His work continues to influence the landscape of data management, making complex computational tasks more efficient and accessible in an increasingly data-driven world.

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