De Novo Ultrascale Atomistic Simulations On High-End Parallel Supercomputers

We present a de novo hierarchical simulation framework for first-principles based predictive simulations of materials and their validation on high-end parallel supercomputers and geographically distributed clusters. In this framework, highend chemically reactive and non-reactive molecular dynamics (MD) simulations explore a wide solution space to discover microscopic mechanisms that govern macroscopic material properties, into which highly accurate quantum mechanical (QM) simulations are embedded to validate the discovered mechanisms and quantify the uncertainty of the solution. The framework includes an embedded divide-andconquer (EDC) algorithmic framework for the design of linear-scaling simulation algorithms with minimal bandwidth complexity and tight error control. The EDC framework also enables adaptive hierarchical simulation with automated model transitioning assisted by graph-based event tracking. A tunable hierarchical cellular decomposition parallelization framework then ma...

• Type: Journal
• Year: 2008
• Where: IJHPCA
• Authors: Aiichiro Nakano, Rajiv K. Kalia, Ken-ichi Nomura, Ashish Sharma, Priya Vashishta, Fuyuki Shimojo, Adri C. T. van Duin, William A. Goddard, Rupak Biswas, Deepak Srivastava, Lin H. Yang
• Keywords: EDC Framework, Hierarchical Simulation Framework, IJHPCA 2008, Simulation