A call to arms for task parallelism in multi-scale materials modeling

International Journal for Numerical Methods in Engineering

Volumn 86, Issue 6, 2011, Pages 744-764

  Barton, Nathan R ^a   Bernier, Joel V ^a   Knap, Jaroslaw ^b   Sunwoo, Anne J ^a   Cerreta, Ellen K ^c   Turner, Todd J ^d  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

^d AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Finite element methods; Materials science; Multiscale; Parallelization; Plasticity; Solids

Indexed keywords

ADAPTIVE SAMPLING; DYNAMIC LOAD IMBALANCE; LOAD IMBALANCE; MATERIAL MODELS; MATERIAL PERFORMANCE; MATERIALS MODELING; MULTISCALE METHOD; MULTISCALE PROBLEM; MULTISCALES; ORDER OF MAGNITUDE; PARALLEL COMPUTING; PARALLEL LOADS; PARALLELIZATIONS; POLYCRYSTAL PLASTICITY; SPEED-UP FACTORS; TASK PARALLELISM;

COMPUTER SIMULATION; DYNAMIC LOADS; FINITE ELEMENT METHOD; PARALLEL ARCHITECTURES; PLASTICITY;

MATERIALS;

EID: 79953706309     PISSN: 00295981     EISSN: 10970207     Source Type: Journal    
DOI: 10.1002/nme.3071     Document Type: Article

References (69)

1. Singer MA, Pope SB. Exploiting ISAT to solve the reaction-diffusion equation. Combustion Theory and Modelling 2004; 8(2):361-383.
2. Ashby S, May J. Multiphysics simulations and petascale computing. Petascale Computing: Algorithms and Applications. Chapman & Hall, CRC Press: London, Boca Raton, 2007.
3. Fried LE. The reactivity of energetic materials at extreme conditions. In Reviews in Computational Chemistry, Lipkowitz KB, Cundari TR (eds), vol. 25. Wiley-VCH: New York, 2007; 159-184.
4. Arsenlis A, Barton NR, Becker R, Rudd RE. Generalized in situ adaptive tabulation for constitutive model evaluation in plasticity. Computer Methods in Applied Mechanics and Engineering 2006; 196:1-13. Available from: http://dx.doi.org/10.1016/j.cma.2005.10.031.
5. Knap J, Barton NR, Hornung RD, Arsenlis A, Becker R, Jefferson DR. Adaptive sampling in hierarchical simulation. International Journal for Numerical Methods in Engineering 2008; 76(4):572-600. Available from:http://dx.doi.org/10.1002/nme.2339.
6. Barton NR, Knap J, Arsenlis A, Becker R, Hornung RD, Jefferson DR. Embedded polycrystal plasticity and adaptive sampling. International Journal of Plasticity 2008; 24(2):242-266. Available from: http://dx.doi.org/10.1016/j.ijplas.2007.03.004.
7. Bernier JV, Barton NR, Knap J. Polycrystal plasticity based predictions of strain localization in metal forming. Journal of Engineering Materials and Technology 2008; 130(2):021020. Available from: http://dx.doi.org/10.1115/1.2884331.
8. Barton NR. Novel algorithms in computational materials science: enabling adaptive sampling. ASCR PI Meeting, U.S. Department of Energy Office of Science HPCSW, 2008.
9. Lu LY, Pope SB. An improved algorithm for in situ adaptive tabulation. Journal of Computational Physics 2009; 228(2):361-386.
10. Garcia AL, Bell JB, Crutchfield WY, Alder BJ. Adaptive mesh and algorithm refinement using direct simulation monte carlo. Journal of Computational Physics 1999; 154:134-155.
11. Ortiz M, Phillips R. Nanomechanics of defects in solids. Advances in Applied Mechanics 1999; 36:1-79.
12. Rudd RE, Broughton JQ. Concurrent coupling of length scales in solid state systems. Physica Status Solidi 2000; 217:251-291.
13. Miller RE, Tadmor EB. The quasicontinuum method: overview applications and current directions. Journal of Computer-aided Materials Design 2002; 9:203-239.
14. Zbib HM, de la Rubia TD. A multiscale model of plasticity. International Journal of Plasticity 2002; 18(9):1133-1163.
15. 2) to describe the response of highly non-linear structures using generalized continua. Computer Methods in Applied Mechanics and Engineering 2003; 192(28-30):3233-3244.
16. Han T-S, Dawson PR. A two-scale deformation model for polycrystalline solids using a strongly-coupled finite element methodology. Computer Methods in Applied Mechanics and Engineering 2007; 196:2029-2043.
17. Kevrekidis IG, Gear CW, Hyman JM, Kevrekidis PG, Runborg O, Theodoropoulous C. Equation-free, coarse-grained multiscale computation: enabling microscopic simulators to perform system-level analysis. Communications in Mathematical Sciences 2003; 1(4):715-762.
18. Dawson PR, Boyce DE, Hale R, Durkot JP. An isoparametric piecewise representation of the anisotropic strength of polycrystalline solids. International Journal of Plasticity 2005; 21:251-283.
19. Vemaganti KS, Oden JT. Estimation of local modeling error and goal-oriented adaptive modeling of heterogeneous materials, part II: a computational environment for adaptive modeling of heterogeneous elastic solids. Computer Methods in Applied Mechanics and Engineering 2001; 190(46-47):6089-6124.
20. Raghavan P, Ghosh S. Concurrent multi-scale analysis of elastic composites by a multi-level computational model. Computer Methods in Applied Mechanics and Engineering 2004; 193:497-538.
21. Pope SB. Computationally efficient implementation of combustion chemistry using in situ adaptive tabulation. Combustion Theory and Modelling 1997; 1:41-63.
22. Kumfert G, Bernholdt DE, Epperly T, Kohl J, McInnes LC, Parker S, Ray J. How the common component architecture advances computational science. Journal of Physics: Conference Series 2006; 46:479-493. Available from: .
23. Jefferson DR. Relationship between Co-op and MPI-2. Technical Report UCRL-TR-225783, Lawrence Livermore National Laboratory, November 2006. Available from: .
24. Krishnan M, Alexeev Y, Windus TL, Nieplocha J. Multilevel parallelism in computational chemistry using common component architecture and global arrays. SC '05: Proceedings of the 2005 ACM/IEEE conference on Supercomputing. IEEE Computer Society: Washington, DC, U.S.A., 2005; 23. DOI: http://dx.doi.org/10.1109/SC.2005.46.
25. Parker SG. A component-based architecture for parallel multi-physics PDE simulation. Future Generation Computer Systems 2006; 22(1-2):204-216.
26. Bernholdt DE, Allan BA, Armstrong R, Bertrand F, Chiu K, Dahlgren TL, Damevski K, Elwasif WR, Epperly TGW, Govindaraju M, Katz DS, Kohl JA, Krishnan M, Kumfert G, Larson JW, Lefantzi S, Lewis MJ, Malony AD, Mclnnes LC, Nieplocha J, Norris B, Parker SG, Ray J, Shende S, Windus TL, Zhou S. A component architecture for high-performance scientific computing. International Journal of High Performance Computing Applications 2006; 20(2):163-202.
27. Kocks UF, Tomé CN, Wenk H (eds). Texture and Anisotropy: Preferred Orientations in Polycrystals and their Effect on Materials Properties. Cambridge University Press: Cambridge, 1998.
28. Lebensohn RA, Tomé CN. A self-consistent viscoplastic model: prediction of rolling textures of anisotropic polycrystals. Materials Science and Engineering A 1994; 175:71-82.
29. Sarma GB, Dawson PR. Effects of interactions among crystals on the inhomogeneous deformations of polycrystals. Acta Materialia 1996; 44(5):1937-1953.
30. Lebensohn R. Modelling the role of local correlations in polycrystal plasticity using viscoplastic self-consistent schemes. Modelling and Simulation in Materials Science and Engineering 1999; 7:739-746.
31. Lebensohn RA, Brenner R, Castelnau O, Rollett AD. Orientation image-based micromechanical modelling of subgrain texture evolution in polycrystalline copper. Acta Materialia 2008; 56:3912-3926.
32. Barton NR, Bernier JV, Lebensohn RA, Rollett AD. Direct 3D simulation of plastic flow from EBSD data. Electron Backscatter Diffraction in Materials Science (2nd edn), chapter 11. Springer: Berlin, 2009. Available from: .
33. Kumar A, Dawson PR. Modeling crystallographic texture evolution with finite elements over neo-Eulerian orientation spaces. Computer Methods in Applied Mechanics and Engineering 1998; 153:259-302.
34. Kumfert G, Leek J, Epperly T. Babel remote method invocation. IEEE International Parallel and Distributed Processing Symposium, Long Beach, CA, 2007.
35. Jefferson D, Beckman B, Wieland F, Blume L, DiLoreto M, Hontalas P, Laroche P, Sturdevant K, Tupman J, Warren V, Wedel J, Younger H, Bellenot S. Distributed simulation and the time warp operating system. Eleventh Symposium on Operating Systems Principles (SOSP), Austin, TX, 1987.
36. Reiher PL, Jefferson D. Dynamic load management in the time warp operating system. Transactions of the Society for Computer Simulation 1990; 7(2):91-120.
37. Kale LV, Bohm E, Mendes CL, Wilmarth T, Zheng G. Programming petascale applications with Charm++ and AMPI. Petascale Computing: Algorithms and Applications. Chapman and Hall, CRC Press: London, Boca Raton, 2007.
38. Ramesh KT. Effects of high rates of loading on the deformation behaviour and failure mechanisms of hexagonal close-packed metals and alloys. Metallurgical and Materials Transactions A 2002; 33:927-935.
39. Lee D-G, Lee YH, Lee S, Lee CS, Hur S-M. Dynamic deformation behavior and ballistic impact properties of Ti-6Al-4V having equiaxed and bimodal microstructures. Metallurgical and Materials Transactions A 2004; 35:3103-3112.
40. Millett JCF, Whiteman G, Bourne NK, Gray III GT. The role of anisotropy in the response of the titanium alloy Ti-6Al-4V to shock loading. Journal of Applied Physics 2008; 104:073531.
41. Wielewski E, Siviour CR, Petrinic N. Texture dependency of high strain rate properties of Ti-6Al-4V. In Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter, AIP Conference Proceedings, vol. 1195, Elert ML, Buttler WT, Furnish MD, Anderson WW (eds), AIP, Nashville, Tennessee, U.S.A., 2009.
42. Elert ML, Buttler WT, Furnish MD, Anderson WW, Proud WG (eds), In Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter, AIP Conference Proceedings, vol. 1195, AIP, Nashville, TN, U.S.A., 2009.
43. Jones I. Transmission electron microscopy in the study of shock compression. In Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter, AIP Conference Proceedings, vol. 1195, Elert ML, Buttler WT, Furnish MD, Anderson WW (eds), AIP, Nashville, TN, U.S.A., 2009.
44. Lütjering G. Influence of processing on microstructure and mechanical properties of (α+β) titanium alloys. Materials Science and Engineering, A 1998; 243:32-45.
45. Lüetjering G, Williams JC. Titanium, Engineering Materials and Processes. Springer: Berlin, 2003.
46. Bozzolo N, Dewobroto N, Wenk H-R, Wagner F. Microstructure and microtexture of highly cold-rolled commercially pure titanium. Journal of Materials Science 2007; 42:2405-2416.
47. Sinha V, Mills MJ, Williams JC. Determination of crystallographic orientation of dwell-fatigue fracture facets in Ti-6242 alloy. Journal of Materials Science 2007; 42:8334-8341.
48. Brechet YJM, Dawson P, Embury JD, G'sell C, Suresh S, Wenk H. Recommendations on modeling polyphase plasticity: conclusions of panel discussions. Materials Science and Engineering A 1994; 175:1-5.
49. Dawson P, Beaudoin A, Mathur K, Sarma G. Finite element modeling of polycrystalline solids. European Journal of Finite Elements 1994; 3(4):543-571.
50. Becker R. Ring fragmentation predictions using the Gurson model with material stability conditions as failure criteria. International Journal of Solids and Structures 2002; 39:3555-3580.
51. Lebensohn RA, Tomé CN, Maudlin PJ. A selfconsistent formulation for the prediction of the anisotropic behavior of viscoplastic polycrystals with voids. Journal of the Mechanics and Physics of Solids 2004; 52(2):249-278. DOI: 10.1016/S0022-5096(03)00114-5. Available from: .
52. Johnson GR, Cook WH. Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures. Engineering Fracture Mechanics 1985; 21(1):31-48. DOI: 10.1016/0013-7944(85)90052-9. Available from: .
53. Johnson GR, Holmquist TJ. Test data and computational strength and fracture model constants for 23 materials subjected to large strains, and high pressures, and high temperatures. Technical Report LA-11463-MS, Los Alamos National Laboratory, Los Alamos, NM, limited access (January 1989).
54. Becker R. Effects of crystal plasticity on materials loaded at high pressures and strain rates. International Journal of Plasticity 2004; 20(11):1983-2006.
55. Vogler T, Clayton J. Heterogeneous deformation and spall of an extruded tungsten alloy: plate impact experiments and crystal plasticity modeling. Journal of the Mechanics and Physics of Solids 2008; 56(2):297-335. DOI: 10.1016/j.jmps.2007.06.013. Available from: .
56. Grady D. Fragmentation of Rings and Shells: The Legacy of N.F. Mott. Springer: Berlin, 2006.
57. Campbell GH, Archbold GC, Hurricane OA, Miller PL. Fragmentation in biaxial tension. Journal of Applied Physics 2007; 101(3):033540. DOI: 10.1063/1.2437117. Available from: .
58. Hosford WF, Caddell RM. Metal Forming: Mechanics and Metallurgy. Prentice-Hall: Englewood Cliffs, NJ, 1983.
59. Blumofe RD, Leiserson CE. Scheduling multithreaded computations by work stealing. Proceedings of the 35th Annual Symposium on Foundations of Computer Science, Santa Fe, NM, 1994; 356-368.
60. Blumofe RD, Joerg CF, Kuszmaul BC, Leiserson CE, Randall KH, Zhou YL. Cilk: an efficient multithreaded runtime system. Journal of Parallel and Distributed Computing, 1995; 30(8):207-216.
61. Lebensohn RA. N-site modeling of a 3d viscoplastic polycrystal using fast Fourier transform. Acta Materialia 2001; 49:2723-2737.
62. Lebensohn RA, Liu Y, Ponte Castañeda P. On the accuracy of the self-consistent approximation for polycrystals: comparison with full-field numerical simulations. Acta Materialia 2004; 52:5347-5361.
63. Kanatani K-I. Distribution of directional data and fabric tensors. International Journal of Engineering Science 1984; 22(2):149-164.
64. Arminjon M, Imbault D. An analytical micro-macro model for textured polycrystals at large plastic strains. International Journal of Plasticity 1994; 10(7):825-847.
65. Lubarda VA, Krajcinovic D. Damage tensors and the crack density distribution. International Journal of Solids and Structures 1993; 30(20):2859-2877.
66. Prantil VC, Jenkins JT, Da wson PR. Modeling deformation induced textures in titanium using analytical solutions for constrained single crystal response. Journal of the Mechanics and Physics of Solids 1995; 43(8):1283-1302.
67. Myagchilov S, Dawson PR. Evolution of texture in aggregates of crystals exhibiting both slip and twinning. Modelling and Simulation in Materials Science and Engineering 1999; 7:975-1004.
68. Bernier JV, Miller MP, Boyce DE. A novel optimization-based pole figure inversion method: comparison with WIMV and maximum entropy methods. Journal of Applied Crystallography 2006; 39(5):697-713.
69. Sundararaghavan V, Zabaras N. Linear analysis of texture-property relationships using process-based representations of Rodrigues space. Acta Materialia 2007; 55:1573-1587.