
doi: 10.1007/bfb0026309
A mathematical model for analysing the speedup behaviour of a parallel k processor backtracking algorithm compared with sequential backtracking is studied. The essential parameter of a problem class, which is incorporated in the model, is the distribution of solutions in the corresponding backtracking trees. Under the model assumptions it is shown that in case of sufficiently unbalanced distributions superlinear speedups will occur in the average. Further a result is shown, indicating that in case of restricted classes of CNF-formulas unbalanced distributions of solutions actually occur.
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