Machine Learning and Dynamic Resource Management Platform

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Researchers at Purdue University have developed a new algorithm to monitor and control computational tasks in software programs by benchmarking software programs that cause delays or mishandle heterogeneous or cloud data. Currently, most code used for research and development tasks consumes large quantities of power, memory, and time. The resource management platform created by Purdue researchers prompts individual computer users to manually adjust computer hardware to optimize software usage, as well. In testing with existing computers, performance was improved by at least a factor of three.

-Resource Management

Potential Applications:
-Research and Development
Mar 31, 2020
Utility Patent
United States

Apr 5, 2019
United States

United States
Purdue Office of Technology Commercialization
The Convergence Center
101 Foundry Drive, Suite 2500
West Lafayette, IN 47906

Phone: (765) 588-3475
Fax: (765) 463-3486