Parallel Algorithms for Solving the Convex Minimum Cost Flow Problem

  • Authors:
  • P. Beraldi;F. Guerriero;R. Musmanno

  • Affiliations:
  • Dipartimento di Elettronica, Informatica e Sistemistica, Università della Calabria, 87036 Rende (CS), Italy;Dipartimento di Elettronica, Informatica e Sistemistica, Università della Calabria, 87036 Rende (CS), Italy;Facoltà di Ingegneria, Università degli Studi di Lecce, 73100 Lecce, Italy

  • Venue:
  • Computational Optimization and Applications
  • Year:
  • 2001

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Abstract

In this paper we deal with the solution of the separable convex cost network flow problem. In particular, we propose a parallel asynchronous version of the ε-relaxation method and we prove theoretically its correctness.We present two implementations of the parallel method for a shared memory multiprocessor system, and we empirically analyze their numerical performance on different test problems. The preliminary numerical results show a good reduction of the execution time of the parallel algorithm with the respect to the sequential counterpart.