Performance Model for Speculative Simulation Using Predictive Optimism (1999)
| Venue: | Proceedings of EPAC96 |
| Citations: | 4 - 1 self |
BibTeX
@INPROCEEDINGS{Noble99performancemodel,
author = {Bradley L. Noble and Roger D. Chamberlain and Bradley L. Noble and Roger D. Chamberlain and Performance Model For and Bradley L. Noble and Roger D. Chamberlainy},
title = {Performance Model for Speculative Simulation Using Predictive Optimism},
booktitle = {Proceedings of EPAC96},
year = {1999},
pages = {1--8}
}
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Abstract
Abstract. Performance models exist that reliably describe the execution time and efficiency of discrete-event simulations executed in a synchronous iterative fashion. These performance models incorporate the effects of processor heterogeneity, other processor loads due to shared computational resources and application workload imbalance. We extend these models to include the effects of an optimistic technique known as speculative computation. This includes modeling the effects of predictive optimism,a technique for improving the accuracy of speculative assumptions. 1
Citations
| 24 | Parallel Discrete-Event Simulation - Fujimoto - 1990 |
| 18 | Processor Scheduling for Time Warp Parallel Simulation - Lin, Lazowska - 1991 |
| 13 | et al, “Distributed Simulation and the Time Warp Operating System,” UCLA Computer Science Department: 870042 - Jefferson, Beckman - 1987 |
| 8 | An Ant Foraging Model Implemented on the Time Warp Operating System - Ebling, Loreto, et al. - 1989 |
| 2 | SPEEDES: A multiple-synchronizationenvironment for parallel discrete event simulation - Steinman - 1992 |
