WE-HML: hybrid WCET estimation using machine learning for architectures with caches

2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)(2021)

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摘要
Modern processors raise a challenge for WCET estimation, since detailed knowledge of the processor microarchitecture is not available. This paper proposes a novel hybrid WCET estimation technique, WE-HML, in which the longest path is estimated using static techniques, whereas machine learning (ML) is used to determine the WCET of basic blocks. In contrast to existing literature using ML techniques...
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关键词
Maximum likelihood estimation,Program processors,Pollution,Machine learning,Computer architecture,Benchmark testing,Prediction algorithms
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