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Machine Learning Innovation Reduces Computer Power Usage

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Large datacenters produce about 1% of the energy-related global greenhouse gas emissions, according to the International Energy Agency.

Said Washington State University's Partha Pande, “We were able to come up with better decision making to determine the voltage and frequency level, so that we had significant energy savings without sacrificing performance.”

Credit: WSU Insider

A machine learning framework developed by researchers at Washington State University (WSU) and Intel can manage power usage to reduce energy consumption in multi-core computer processors.

The researchers designed the algorithms to select voltage and frequency levels for different clusters of a 64-core processor.

The scalable framework learned to optimize power management without reducing multi-processor performance, realizing up to 60% energy savings.

WSU's Jana Doppa said this innovation is designed for future computing systems that could have as many as 1,000 core processors, although it also could be used for extremely small embedded systems.

From WSU Insider
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