Computational homogenization at extreme scales

Abstract Multi-scale simulations at extreme scales in terms of both physical length scales and computational resources are presented. In this letter, we introduce a hierarchically parallel computational homogenization solver that employs hundreds of thousands of computing cores and resolves O ( 10 5 ) in material length scales (from O ( cm ) to O ( 100 nm ) ). Simulations of this kind are important in understanding the multi-scale essence of many natural and synthetically made materials. Thus, we present a simulation consisting of 53.8 Billion finite elements with 28.1 Billion nonlinear equations that is solved on 393,216 computing cores (786,432 threads). The excellent parallel performance of the computational homogenization solver is demonstrated by a strong scaling test from 4,096 to 262,144 cores. A fully coupled multi-scale damage simulation shows a complex crack profile at the micro-scale and the macroscopic crack tunneling phenomenon. Such large and predictive simulations are an important step towards Virtual Materials Testing and can aid in development of new material formulations with extreme properties. Furthermore, the high computational efficiency of our computational homogenization solver holds great promise for utilizing the next generation of exascale parallel computing platforms that are expected to accelerate computations through orders of magnitude increase in parallelism rather than speed of each processor.

[1]  Philippe H. Geubelle,et al.  Multiscale modelling of particle debonding in reinforced elastomers subjected to finite deformations , 2006 .

[2]  Chiara Daraio,et al.  Wide band-gap seismic metastructures , 2015 .

[3]  Martin Schulz,et al.  Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures , 2011, 2011 IEEE International Parallel & Distributed Processing Symposium.

[4]  K. Chou,et al.  Effect of nano-sized silver particles on the resistivity of polymeric conductive adhesives , 2005 .

[5]  Jack Dongarra,et al.  High Performance Computing for Computational Science , 2003 .

[6]  V. G. Kouznetsova,et al.  Multi-scale computational homogenization: Trends and challenges , 2010, J. Comput. Appl. Math..

[7]  Thomas M. Evans,et al.  Three-Dimensional Full Core Power Calculations for Pressurized Water Reactors , 2010 .

[8]  J. C. Simo,et al.  On continuum damage-elastoplasticity at finite strains , 1989 .

[9]  Vahid Lotfi,et al.  A graph coloring algorithm for large scale scheduling problems , 1986, Comput. Oper. Res..

[10]  Karel Matouš,et al.  Multiscale modeling of elasto-viscoplastic polycrystals subjected to finite deformations , 2009 .

[11]  John Shalf,et al.  Exascale Computing Technology Challenges , 2010, VECPAR.

[12]  Y. Mai,et al.  Effects of particle size, particle/matrix interface adhesion and particle loading on mechanical properties of particulate–polymer composites , 2008 .

[13]  Karel Matouš,et al.  Finite element formulation for modelling large deformations in elasto‐viscoplastic polycrystals , 2004 .

[14]  Matthew Mosby,et al.  On mechanics and material length scales of failure in heterogeneous interfaces using a finite strain high performance solver , 2015 .

[15]  James Demmel,et al.  SuperLU_DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems , 2003, TOMS.

[16]  Wim Vanroose,et al.  Hiding Global Communication Latency in the GMRES Algorithm on Massively Parallel Machines , 2013, SIAM J. Sci. Comput..

[17]  Michael A. Sutton,et al.  Investigation of crack tunneling in ductile materials , 2010 .

[18]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[19]  Julia R. Greer,et al.  Ultra-strong architected Cu meso-lattices , 2015 .

[20]  Philippe H. Geubelle,et al.  Coupled multi‐scale cohesive modeling of failure in heterogeneous adhesives , 2010 .

[21]  Philippe H. Geubelle,et al.  Multiscale cohesive failure modeling of heterogeneous adhesives , 2008 .

[22]  James C. Newman,et al.  The effect of crack tunneling on crack growth: experiments and CTOA analyses , 2003 .

[23]  Patricia Verleysen,et al.  Advanced high strength steels for automotive industry , 2012 .

[24]  Matthew Mosby,et al.  Hierarchically parallel coupled finite strain multiscale solver for modeling heterogeneous layers , 2015 .

[25]  P. Mallick Fiber-reinforced composites : materials, manufacturing, and design , 1989 .

[26]  N. Sottos,et al.  Autonomic healing of polymer composites , 2001, Nature.