This inventor holds 2 USPTO granted patents. Top assignees: Leland Stanford Junior University, Massachusetts Institute of Technology. Active years: 2006-2010.
Company Filing History:
2 out of 5,492 
2 out of 8,573 
Years Active: 2006-2010
Title: Innovations of John D Owens
Introduction
John D Owens is a notable inventor based in Emeryville, CA (US). He has made significant contributions to the field of data processing, particularly in the area of conditional vector operations. With a total of 2 patents, his work has advanced the efficiency of data parallel architectures.
Latest Patents
One of his latest patents is a system and method for performing efficient conditional vector operations for data parallel architectures involving both input and conditional vector values. This innovation allows a processor to implement conditional vector operations by dividing an input vector containing multiple operands into two or more output vectors based on a condition vector. Each output vector can be processed at full processor efficiency, eliminating cycles wasted due to branch latency. The data to be processed are segregated into two groups based on whether they satisfy a given condition, allowing subsequent processing without unnecessary conditional operations or wasted processor cycles. Other examples of conditional operations include combining input vectors into a single output vector based on a condition vector, conditional vector switching, and load balancing.
Career Highlights
John D Owens has worked at prestigious institutions such as Leland Stanford Junior University and the Massachusetts Institute of Technology. His experience in these environments has contributed to his expertise in data processing and vector operations.
Collaborations
Some of his notable coworkers include Scott W Rixner and Ujval J Kapasi. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.
Conclusion
John D Owens is a prominent inventor whose work in conditional vector operations has significantly impacted data processing efficiency. His contributions continue to influence advancements in technology and innovation.