2002Proceedings Design, Automation and Test in Europe Conference and Exhibition 2000 (Cat. No. PR00537)Requires access

Static timing analysis of embedded software on advanced processor architectures

A. Hergenhan, W. Rosenstiel

Open publisher page 12 citations

Abstract

This paper examines several techniques for static timing analysis. In detail, the first part of the paper analyzes the connection of prediction accuracy (worst case execution time) and applicability of a methodology for modeling and analysis of instruction as well as data cache behavior. The second part of the paper proposes a timing analysis technique for super-scalar processors. The objects of our studies are two processors of the PowerPC family, in particular the PPC403 and the MPC750.

About this research paper

What this paper is about

This paper examines several techniques for static timing analysis. In detail, the first part of the paper analyzes the connection of prediction accuracy (worst case execution time) and applicability of a methodology for modeling and analysis of instruction as well as data cache behavior. The second part of the paper proposes a timing analysis technique for super-scalar processors. The objects of our studies are two processors of the PowerPC family, in particular the PPC403 and the MPC750.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper examines several techniques for static timing analysis. In detail, the first part of the paper analyzes the connection of prediction accuracy (worst case execution time) and applicability of a methodology for modeling and analysis of instruction as well as data cache behavior. The second part of the paper proposes a timing analysis technique for super-scalar processors. The objects of our studies are two processors of the PowerPC family, in particular the PPC403 and the MPC750.

Key concepts: PowerPC, Computer science, Static timing analysis, Cache, Static analysis, Reduced instruction set computing, Branch predictor, Software

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