Parallel Computing in Lattice Theory

  • Henrik Bohr
Part of the NATO ASI Series book series (NSSB, volume 140)


Some parallel processor systems are presented and applied to lattice theories in physics. The first type of system is an analogue parallel computer which simulates dynamical models instantaneously. The second type is a digital computer system with a parallel Non-Von-Neumann architecture that is especially suited for simulating lattice models. It does that as fast as present days supercomputers, such as CRAY and CYPER 205, but with a cost/benefit ratio which is 0,5% to that of CRAY or CYBER.


Parallel Processor Modular Element Processor Module MOSES System Synchronous Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1).
    K. Jensen, “The MOSES concept”, DTH preprint, July 1983. H. Bohr and K. Jensen, “PALLAS, a cellular computer project for fast simulation of dynamical systems”, Internal report, SISSA preprint 26/84/EP (1984)Google Scholar
  2. 2).
    E.J. Lerner, High Technology/July 1985, 20.Google Scholar
  3. 3).
    H. Bohr et al., Com. Phys. Com. 30 (1983) 337.ADSCrossRefGoogle Scholar
  4. 4).
    H. Bohr an I. Khan, ICTP preprint, IC/85/34 (1985).Google Scholar
  5. 5).
    P. Forgacs, Privat communication.Google Scholar
  6. 6).
    H. Bohr et al., SISSA preprint, 59/85/EP (1985).Google Scholar
  7. W. Fisher, Febr. 1985, IEEE.Google Scholar
  8. 8).
    J. Tobochnik and G.V. Chester, Phys. Rev. 20 B, 3761 (1979).ADSCrossRefGoogle Scholar
  9. 9).
    M. Parrinello and E. Tosatti, Phys, Rev. lett. 49, 1165 (1982).ADSCrossRefGoogle Scholar
  10. 10).
    G.M. Florio et al., SISSA preprint, 24/84/CM (1984).Google Scholar

Copyright information

© Plenum Press, New York 1986

Authors and Affiliations

  • Henrik Bohr
    • 1
  1. 1.The Technical University of DenmarkLyngbyDenmark

Personalised recommendations