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- W2136506985 abstract "We present a Markov model for analyzing the performance of parallel/distributed processors that execute a job consisting of N independent tasks in parallel using P processors. The model is a Markov chain with states representing service and failure rates with k (0<k/spl les/P) active processors. The task-times and processor failures are both exponentially distributed. We derive a number of expressions to determine the mean execution time, probability of success, work, and other measurable quantities, all conditioned on the job finishing successfully. A prototype, implemented using an extended version of ACMPI, is used for actual experiments that are based on simulated task-times and processor failures. We present our results comparing the analytic model with the prototype for a range of values of processor failure rates. We also discuss extensions of the model and issues related to communication costs, approximations and effect of task-time distributions." @default.
- W2136506985 created "2016-06-24" @default.
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- W2136506985 date "2002-11-13" @default.
- W2136506985 modified "2023-09-25" @default.
- W2136506985 title "An analytic performance model of parallel systems that perform N tasks using P processors that can fail" @default.
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- W2136506985 doi "https://doi.org/10.1109/nca.2001.962547" @default.
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