Performance Estimation for Embedded Systems with Data and Control Dependencies

Paul Pop; Petru Eles; Zebo Peng

Performance Estimation for Embedded Systems with Data and Control Dependencies

Paul Pop, Petru Eles, Zebo Peng

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In this paper we present an approach to performance estimation for hard real-time systems. We consider architectures consisting of multiple processors. The scheduling policy is based on a preemptive strategy with static priorities. Our model of the system captures both data and control dependencies, and the analysis is able to reduce the pessimism of the estimation by using the knowledge about these dependencies. Extensive experiments as well as a real life example demonstrate the efficiency of our approach.

Original language	English
Title of host publication	International Workshop on Hardware/Software Codesign
Publication date	2000
Pages	62-66
Publication status	Published - 2000
Event	8th International Workshop on Hardware/Software Codesign - San Diego,CA, United States Duration: 3 May 2000 → 5 May 2000 Conference number: 8

Conference

Conference	8th International Workshop on Hardware/Software Codesign
Number	8
Country	United States
City	San Diego,CA
Period	03/05/2000 → 05/05/2000

Cite this

Pop, P., Eles, P., & Peng, Z. (2000). Performance Estimation for Embedded Systems with Data and Control Dependencies. In International Workshop on Hardware/Software Codesign (pp. 62-66)

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title = "Performance Estimation for Embedded Systems with Data and Control Dependencies",

abstract = "In this paper we present an approach to performance estimation for hard real-time systems. We consider architectures consisting of multiple processors. The scheduling policy is based on a preemptive strategy with static priorities. Our model of the system captures both data and control dependencies, and the analysis is able to reduce the pessimism of the estimation by using the knowledge about these dependencies. Extensive experiments as well as a real life example demonstrate the efficiency of our approach.",

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AU - Eles, Petru

AU - Peng, Zebo

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N2 - In this paper we present an approach to performance estimation for hard real-time systems. We consider architectures consisting of multiple processors. The scheduling policy is based on a preemptive strategy with static priorities. Our model of the system captures both data and control dependencies, and the analysis is able to reduce the pessimism of the estimation by using the knowledge about these dependencies. Extensive experiments as well as a real life example demonstrate the efficiency of our approach.

AB - In this paper we present an approach to performance estimation for hard real-time systems. We consider architectures consisting of multiple processors. The scheduling policy is based on a preemptive strategy with static priorities. Our model of the system captures both data and control dependencies, and the analysis is able to reduce the pessimism of the estimation by using the knowledge about these dependencies. Extensive experiments as well as a real life example demonstrate the efficiency of our approach.

M3 - Article in proceedings

SP - 62

EP - 66

BT - International Workshop on Hardware/Software Codesign

T2 - 8th International Workshop on Hardware/Software Codesign

Y2 - 3 May 2000 through 5 May 2000

ER -