CANDLE shines in 2017 HPCwire Readers’ and Editors’ Choice Awards

By a News Reporter-Staff News Editor at Obesity, Fitness & Wellness Week -- The U.S. Department of Energy’s (DOE) Argonne National Laboratory has been recognized in the annual HPCwire Readers’ and Editors’ Choice Awards, presented at the 2017 International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), in Denver, Colorado. The list of winners was revealed at the HPCwire booth at the event, and on the HPCwire website, located at http://www.HPCwire.com .

Argonne’s Exascale Deep Learning and Simulation Enabled Precision Medicine for Cancer project -- which focuses on building a scalable deep neural network code called the CANcer Distributed Learning Environment (CANDLE) -- was recognized with the following honor(s):

“CANDLE has demonstrated exciting early results,” said Argonne Associate Laboratory Director and Principal Investigator of the CANDLE project Rick Stevens. “We’ve integrated multiple molecular and drug feature types in a deep learning framework for drug response prediction and developed models that were able to explain over 92% of variance in drug response. These results outperform conventional machine learning models.”

The coveted annual HPCwire Readers’ and Editors’ Choice Awards are determined through a nomination and voting process with the global HPCwire community, as …

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(2017-12-02), CANDLE shines in 2017 HPCwire Readers’ and Editors’ Choice Awards, Obesity, Fitness & Wellness Week, 398, ISSN: 1532-4664, BUTTER® ID: 014744140