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2017 GTC San Jose

S7792 - Buildling Exascale Deep Learning Tools to Help Understand Cancer Biology at the Molecular Scale

Session Speakers
Session Description

Understanding the biology of cancer at the molecular scale is a critical challenge for the RAS oncogene family of cancers. We are developing an adaptive molecular dynamics simulation framework that uses multi-scale models to achieve simulation time scales that allow biologically interesting behaviors to emerge. We'll develop new deep learning techniques that can help identify phase transitions, the formation of complex structures, and the detection of interesting events between the RAS protein and cell membrane. This molecular dynamics simulation data will drive the need for new techniques in both model and data parallelism within deep learning toolkits, and require the capabilities of next-generation supercomputers such as SIERRA and Summit at LLNL and ORNL, respectively.


Additional Session Information
Intermediate
Talk
Computational Biology Deep Learning and AI
Government / National Labs Healthcare & Life Sciences
25 minutes
Session Schedule