Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2002-08-05
Physics
Condensed Matter
Disordered Systems and Neural Networks
6 pages, revtex4
Scientific paper
10.1103/PhysRevLett.90.158701
The problem of distributing the workload on a parallel computer to minimize the overall runtime is known as Multiprocessor Scheduling Problem. It is NP-hard, but like many other NP-hard problems, the average hardness of random instances displays an ``easy-hard'' phase transition. The transition in Multiprocessor Scheduling can be analyzed using elementary notions from crystallography (Bravais lattices) and statistical mechanics (Potts vectors). The analysis reveals the control parameter of the transition and its critical value including finite size corrections. The transition is identified in the performance of practical scheduling algorithms.
Bauke Heiko
Engel Andreas
Mertens Stephan
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