Computational Physics on Connection Machine Supercomputers

  • E. LohJr.
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 70)


Developments in computer architectures are changing the way we do computational physics. Data-parallel programming languages eliminate unnecessary serialization, which obscures the parallelism in nature, and allow scientists to program computers at higher levels. Massively parallel hardware designs allow both higher performance and better performance-per-price. In this talk, I will discuss data-parallel programming, Connection Machine (CMTM) design, and selected applications on Connection Machine supercomputers from computational condensed-matter physics.


Computer Architecture Rectangular Grid Processing Node Code Fragment Data Parallelism 
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.
    See also Connection Machine Model CM-2 Technical Summary, Version 6.0, November 1990, Thinking Machines Corp., Cambridge, Mass.Google Scholar
  2. 2.
    See also B.M. Boghosian, Computers in Physics 4, 14 (1990).Google Scholar
  3. 3.
    F. Palo, A.R. Bishop, P.S. Lomdahl, B. Horowitz, Phys. Rev. B 43, 8081 (1991).CrossRefADSGoogle Scholar
  4. 4.
    Z. Liu, L. Manousakis, Phys. Rev. B 43, 13246 (1991).CrossRefADSGoogle Scholar
  5. 5.
    J. D. Joannopoulos, K. Brommer, B. E. Larson, M. Nccdcls, to be published.Google Scholar
  6. 6.
    J.T. Camm el, D.K. Campbell, L. Loh, S. Mazumdar, S.N. Dixit, to appear in J. Materials Research.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • E. LohJr.
    • 1
  1. 1.Thinking Machines CorporationCambridgeUSA

Personalised recommendations