Skip to main content
Log in

Comparative analysis of topological constructions of Sparse Flat Neighborhood Networks for cluster supercomputers

  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

The topology of Sparse Flat Neighborhood Networks (SFNNs) is considered and its advantages and drawbacks are analyzed. A comparative analysis of the quality of SFNN constructions designed by a modified cyclic method is performed. A set of quality criteria for estimation of practical usefulness of SFNN constructions is proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. O. Koshul’ko and A. Koshul’ko, “High-performance computing clusters,” Electronic Components and Systems, No. 6, 39–41 (2004).

  2. T. P. Mar’yanovich and O. A. Koshul’ko, “Use of the topology of Flat Neighborhood Networks for construction of cluster supercomputers,” Mat. Mashiny i Systemy, No. 4, 3–12 (2004).

  3. H. G. Dietz and T. I. Mattox, “KLAT2’s Flat Neighborhood,” in: Proc. 4th Annual Linux Showcase and Conference, Atlanta, GA, USA. (2000), www.linuxshowcase.org.

  4. D. M. Gordon, G. Kuperberg, and O. Patashnik, “New constructions for covering designs,” J. of Combinatorial Designs, No. 3, 269–284 (1995).

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 87–92, November– December 2004.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Koshul’ko, A.A. Comparative analysis of topological constructions of Sparse Flat Neighborhood Networks for cluster supercomputers. Cybern Syst Anal 40, 860–864 (2004). https://doi.org/10.1007/s10559-005-0025-8

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10559-005-0025-8

Keywords

Navigation