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Scalable atomistic simulation algorithms for materials research

  • Aiichiro Nakano
  • , Rajiv K. Kalia
  • , Priya Vashishta
  • , Timothy J. Campbell
  • , Shuji Ogata
  • , Fuyuki Shimojo
  • , Subhash Saini

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

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%. The 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.
Original languageEnglish
Pages (from-to)263-270
Number of pages8
JournalScientific Programming
Volume10
Issue number4
DOIs
StatePublished - Jan 1 2002
Externally publishedYes

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