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ASPLOS2025顶会

SYLQ-SV: Scaling Symbolic Execution of Hardware Designs with Query Caching

Kaki Ryan, Cynthia Sturton

2025年份
1被引次数

摘要

Symbolic execution of hardware designs is a path-based analysis that can deliver high quality coverage and security verification results. Unfortunately, the technique has historically struggled with the path explosion problem and, despite recent advances, remains expensive. We present SylQ-SV, a dedicated SystemVerilog symbolic execution engine that uses SMT query caching to improve execution times, reducing run time by up to 17% over the state of the art. SylQ-SV provides language support for all necessary SystemVerilog constructs, including SystemVerilog Assertions, to provide end-to-end verification workflows of the open-source designs most commonly appearing in the literature. We evaluate SYLQ-SV on the OR1200 CPU, the OpenTitan SoC with Ibex core, and two SoC designs from the HACK@DAC competitions (with PULPissimo core and CVA6 core, respectively). We make the SylQ-SV source code and all data used in the evaluation publicly available.

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