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Automatic Extraction of Timing Models for WCET Estimation from a High-Level Synthesis Flow
Thomas Feuilletin, Dylan Leothaud, Simon Rokicki, Steven Derrien, Isabelle Puaut

Automatic Extraction of Timing Models for WCET Estimation from a High-Level Synthesis Flow

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Real-time, domain-specific processors require faithful timing models for WCET analysis. However, existing models are typically hand-crafted from sparse documentation, making them error-prone and difficult to maintain. This work aims to automatically extract WCET timing models from single-issue in-order processor pipelines generated by High-Level Synthesis (HLS). By deriving timing models directly from the SpecHLS intermediate representation, the models are faithful by construction. Experimental results show that our timing-model extraction process generalizes across diverse RISC-V core variants and yields WCET estimates within 0.48% on average of those from a handcrafted model, on the Mälardalen WCET benchmarks.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title Automatic Extraction of Timing Models for WCET Estimation from a High-Level Synthesis Flow
Author / Organization Thomas Feuilletin, Dylan Leothaud, Simon Rokicki, Steven Derrien, Isabelle Puaut
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-166634
Original Source Link Visit Source Page on hal.science »