2003Unpublished venueRequires access

Timing anomalies in dynamically scheduled microprocessors

Thomas Lundqvist, Per Stenström

Open publisher page 340 citations

Abstract

Previous timing analysis methods have assumed that the worst-case instruction execution time necessarily corresponds to the worst-case behavior. We show that this assumption is wrong in dynamically scheduled processors. A cache miss, for example, can in some cases result in a shorter execution time than a cache hit. Many examples of such timing anomalies are provided. We first provide necessary conditions when timing anomalies can show up and identify what architectural features that may cause such anomalies. We also show that analyzing the effect of these anomalies with known techniques results in prohibitive computational complexities. Instead, we propose some simple code modification techniques to make it impossible for any anomalies to occur. These modifications make it possible to estimate WCET by known techniques. Our evaluation shows that the pessimism imposed by these techniques is fairly limited; it is less than 27% for the programs in our benchmark suite.

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What this paper is about

Previous timing analysis methods have assumed that the worst-case instruction execution time necessarily corresponds to the worst-case behavior. We show that this assumption is wrong in dynamically scheduled processors. A cache miss, for example, can in some cases result in a shorter execution time than a cache hit. Many examples of such timing anomalies are provided. We first provide necessary conditions when timing anomalies can show up and identify what architectural features that may cause such anomalies. We also show that analyzing the effect of these anomalies with known techniques results in prohibitive computational complexities. Instead, we propose some simple code modification techniques to make it impossible for any anomalies to occur. These modifications make it possible to estimate WCET by known techniques. Our evaluation shows that the pessimism imposed by these techniques is fairly limited; it is less than 27% for the programs in our benchmark suite.

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Available abstract

Previous timing analysis methods have assumed that the worst-case instruction execution time necessarily corresponds to the worst-case behavior. We show that this assumption is wrong in dynamically scheduled processors. A cache miss, for example, can in some cases result in a shorter execution time than a cache hit. Many examples of such timing anomalies are provided. We first provide necessary conditions when timing anomalies can show up and identify what architectural features that may cause such anomalies. We also show that analyzing the effect of these anomalies with known techniques results in prohibitive computational complexities. Instead, we propose some simple code modification techniques to make it impossible for any anomalies to occur. These modifications make it possible to estimate WCET by known techniques. Our evaluation shows that the pessimism imposed by these techniques is fairly limited; it is less than 27% for the programs in our benchmark suite.

Key concepts: Computer science, Benchmark (surveying), Static timing analysis, Suite, Worst-case execution time, Cache, Parallel computing, Speculative execution

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