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- W11754170 abstract "Non-preemptive multi-processor platforms are increasingly being developed to support the performance requirements of modern systems with multiple applications. Due to a huge number of possible combinations of these multiple applications, it becomes a challenge to predict their performance in advance. This becomes even more important when applications may be dynamically started and stopped in the system. Misprediction may result in reduced quality of applications and lower the user-experience. Since modern embedded systems allow users to download and add applications at run-time, a complete designtime analysis is not possible. In this paper, we present a technique to accurately predict the performance of applications at run-time before they execute in the system. The technique uses performance expressions computed off-line from the application specifications. A run-time iterative probabilistic analysis is used to estimate the time spent by tasks during contention phase, and thereby predict the performance of applications. The performance values predicted vary from the measured values by 2% on average and 3% at maximum. The analysis takes 3ms on a 50MHz processor for 10 applications. The approach is fast, yet extremely accurate. Further, the prediction technique is used to design an admission controller that is completely implemented and tested on FPGA. Besides the approach and results, we provide a fully automated flow to generate such a controller on an FPGA multiprocessor platform. In addition, we present a complete and composable system design flow where applications may be added at run-time." @default.
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- W11754170 date "2008-01-01" @default.
- W11754170 modified "2023-09-27" @default.
- W11754170 title "Accurate run-time performance prediction for multi-application multiprocessor systems" @default.
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