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Supercomputing for Molecular Dynamics Simulations: Handling Multi-Trillion Particles in Nanofluidics 2015 ed. [Pehme köide]

  • Formaat: Paperback / softback, 76 pages, kõrgus x laius: 235x155 mm, kaal: 1635 g, 13 Illustrations, color; 22 Illustrations, black and white; X, 76 p. 35 illus., 13 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Computer Science
  • Ilmumisaeg: 09-Apr-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 331917147X
  • ISBN-13: 9783319171470
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  • Formaat: Paperback / softback, 76 pages, kõrgus x laius: 235x155 mm, kaal: 1635 g, 13 Illustrations, color; 22 Illustrations, black and white; X, 76 p. 35 illus., 13 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Computer Science
  • Ilmumisaeg: 09-Apr-2015
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 331917147X
  • ISBN-13: 9783319171470
This work presents modern implementations of relevant molecular dynamics algorithms using ls1 mardyn, a simulation program for engineering applications. The text focuses strictly on HPC-related aspects, covering implementation on HPC architectures, taking Intel Xeon and Intel Xeon Phi clusters as representatives of current platforms. The work describes distributed and shared-memory parallelization on these platforms, including load balancing, with a particular focus on the efficient implementation of the compute kernels. The text also discusses the software-architecture of the resulting code.
1 Introduction
1(10)
1.1 The Art of Molecular Modeling and Simulation
3(3)
1.2 Focus and Structure of This Work
6(5)
References
8(3)
2 Molecular Dynamics Simulation
11(20)
2.1 Molecular Models and Potentials
11(6)
2.2 Statistical Ensembles
17(1)
2.3 Algorithms for Nearest-Neighbor Search
18(3)
2.4 Characteristics of Large-Scale Molecular Dynamics Simulation of Fluids
21(2)
2.5 Simulation Code Mardyn
23(8)
References
27(4)
3 Parallelization of MD Algorithms and Load Balancing
31(14)
3.1 Target Systems
32(5)
3.2 Shared-Memory Parallelization
37(3)
3.3 Spatial Domain Decomposition
40(1)
3.4 Load Balancing Based on KD-Trees
41(4)
References
43(2)
4 Efficient Implementation of the Force Calculation in MD Simulations
45(14)
4.1 Memory Access Optimizations
46(2)
4.2 Vectorization
48(6)
4.3 Optimization Possibilities for Monatomic Fluids
54(5)
References
57(2)
5 Experiments
59(16)
5.1 Performance on SuperMUC
60(7)
5.2 Performance on the Intel Xeon Phi Coprocessor
67(3)
5.3 Multi-Trillion Particle Simulations
70(2)
5.4 Summary
72(3)
References
73(2)
6 Conclusion
75