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  • 标题:Scalable Atomistic Simulation Algorithms for Materials Research
  • 本地全文:下载
  • 作者:Aiichiro Nakano ; Rajiv K. Kalia ; Priya Vashishta
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2002
  • 卷号:10
  • 期号:4
  • 页码:263-270
  • DOI:10.1155/2002/203525
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    A suite of scalable atomistic simulation programs has been developed for materials research based on space-time multiresolution algorithms. Design and analysis of parallel algorithms are presented for molecular dynamics (MD) simulations and quantum-mechanical (QM) calculations based on the density functional theory. Performance tests have been carried out on 1,088-processor Cray T3E and 1,280-processor IBM SP3 computers. The linear-scaling algorithms have enabled 6.44-billion-atom MD and 111,000-atom QM calculations on 1,024 SP3 processors with parallel efficiency well over 90%. production-quality programs also feature wavelet-based computational-space decomposition for adaptive load balancing, spacefilling-curve-based adaptive data compression with user-defined error bound for scalable I/O, and octree-based fast visibility culling for immersive and interactive visualization of massive simulation data.

  • 关键词:Parallel computing; molecular dynamics; variable-charge molecular dynamics; quantum mechanics; density functional; theory; load balancing; data compression
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