Peter W. Glynn, Philip Heidelberger
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Computer performance models of parallel processing systems in which a job subdivides into two or more tasks at some point during its execution are considered. Except for queueing effects, the tasks execute independently of one another and do not require synchronization. An approximate solution method is developed and results of the approximation are compared to those of simulations. Bounds on the performance improvement due to overlap are derived. Copyright © 1982 by The Institute of Electrical and Electronics Engineers, Inc.
Peter W. Glynn, Philip Heidelberger
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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