Performability studies of hypercube architectures

The authors propose a novel technique to study composite reliability and performance (performability) measures of hypercube systems using generalized stochastic Petri nets (GSPNs). This technique essentially consists of the following: (i) a GSPN reliability model; (ii) a GSPN performance model; and (iii) a way of combining the results from these two models. Models and performability results for an iPSC/2 hypercube system under the workload of concurrent matrix multiplication algorithm are presented.<
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