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University of Wisconsin–Madison
Research into novel solutions to complex computing problems



UW-Madison engineers create world’s greenest supercomputer
Engineers here have designed and built the world’s most energy-efficient supercomputer, earning the top ranking on the Green Graph 500. First place goes to the computer that grinds through an immensely challenging set of calculations using the least amount of power. Prof. Jing Li led the project.


An enclosed bank of distributed computing equipment is pictured in the Computer Sciences and Statistics building at the University of Wisconsin-Madison. Photo credit: Jeff Miller.
Prof. Li, as one of the three researchers at UW-Madison, joins the Center for Research in Intelligent Storage and Processing in Memory (CRISP) to tackle fundamental computing questions.


In the ultracompetitive Wild West of AI a new generation of pioneers is emerging
Prof. Li was profiled by WARF for her invention in developing a deep learning accelerator in the Cloud, supported by the WARF Accelerator Program.


rising research star
Prof. Li was featured in the article A Rising Research Star in the Madison Magazine (Channel3000).


Advance aims to accelerate AI learning, WiCIL’s research on deep neural network accelerator for AI was featured by College of Engineering, UW-Madison.


Liquid silicon
Liquid Silicon, computer chips that can be configured to perform complex calculations and store massive amounts of information within the same integrated unit—and communicate efficiently with other chips, was featured by College of Engineering and UW-Madison News. It was also reported by the following media:


Prof. Li was featured by College of Engineering: Focus on new faculty: Jing Li, championing hardware in a big-data world