This inventor holds 1 USPTO granted patent. Top assignee: Cornell University. Active years: 2021.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021
Title: Daniel Lo and Energy-Efficient Computing
Introduction
Daniel Lo is an inventor associated with Cornell University in Ithaca, New York. His patent work addresses ways to predict software execution time and allocate computing resources more efficiently.
Latest Patents
Lo is named on 1 patent: “Execution Time Prediction for Energy-Efficient Computer Systems.” The invention describes generating program features that affect task execution time, using those features to estimate execution time on selected computing cores, and controlling core resources based on the predictions. This prediction-guided approach is intended to support energy-efficient execution of software applications.
Career Highlights
Lo’s listed patent reflects work at the intersection of software performance prediction and computer-system resource management. His affiliation with Cornell University connects this work to the university’s research and innovation community.
Collaborations
The provided information lists Tao Chen and Gookwon Edward Suh as Lo’s coworkers. Their names are associated with his professional context, though specific roles in the patent are not stated here.
Conclusion
Daniel Lo’s patent focuses on using execution-time predictions to guide computing-resource allocation, with the goal of improving energy efficiency in computer systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile