“Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer” was selected as best paper at SC19, the International Conference for High-Performance Computing, Networking, Storage, and Analysis.

Written by JDACS4C Pilot 2 (Molecular Level Pilot: Improving Outcomes for RAS-related Cancers) team members from Lawrence Livermore Lab, Los Alamos National Lab, Oak Ridge Lab, and IBM, this research exemplifies cross-agency collaboration between NCI and the Frederick National Lab with experts in computational, data, and physical sciences from Department of Energy (DOE) national laboratories. The goal of the pilot is to deepen understanding of RAS biology and identify new drugs for RAS-related cancers through the integrated development and use of new simulations, predictive models, and next-generation experimental data.

The Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) program was created in 2016 to accelerate cancer research using emerging exascale computing capabilities.