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Using random task graphs to investigate the potential benefits of heterogeneity in parallel systems

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4 Author(s)
Almeida, V.A.F. ; Dept. de Ciencia da Computacao, Univ. Federale de Minas Gerais, Belo Horizonte, Brazil ; Vasconcelos, I.M.M. ; Arabe, J.N.C. ; Menasce, D.A.

The authors consider multiprogrammed multiprocessors and parallel programs modeled as random task graphs. A theoretical analytical model for studying combinations of extreme cases of workload parallelism (highly parallel versus highly sequential) and of system utilization (light versus heavy load) is presented. A simulation model was used to study intermediate cases. From these two models, conditions under which heterogeneity presents a significant performance improvement over homogeneous architectures are derived. A study of the effect of scheduling policies for heterogeneous architectures on workloads of different degrees of parallelism under various system load conditions is presented

Published in:

Supercomputing '92., Proceedings

Date of Conference:

16-20 Nov 1992