The CANcer Distributed Learning Environment (CANDLE), an effort of the Exascale Computing Project, was honored in the HPCwire Readers’ & Editors’ Choice Awards, presented at the 2017 International Conference for High Performance Computing, Networking, Storage and Analysis (SC17) November 13 in Denver.
CANDLE is a US Department of Energy and National Cancer Institute (NCI) collaboration that is developing computational methods for integrating and analyzing many types of cancer data to better understand cancer biology and identify new treatments.
Rick Stevens, associate laboratory director at Argonne National Laboratory, is principal investigator for the CANDLE project, which is composed of team members from Argonne, Lawrence Livermore, and Oak Ridge National Laboratories, along with the National Institutes of Health (NIH), and the NCI.
HPCwire recognized CANDLE with the following:
Best Use of AI, Editors’ Choice—CANcer Distributed Learning Environment (CANDLE) leverages the Cray “Theta” XC40 system to develop and use deep learning tools to accelerate cancer research.