Efficient Cross-Level Processor Verification using Coverage-guided Fuzzing

Niklas Bruns, V. Herdt, Daniel Große, R. Drechsler
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引用次数: 5

Abstract

In this paper, we propose a novel simulation-based cross-level approach for processor verification at the Register-Transfer Level (RTL). We leverage state-of-the-art coverage-guided fuzzing techniques from the software domain to generate processor-level input stimuli. An Instruction Set Simulator (ISS) is utilized as a reference model for the RTL processor under test in an efficient co-simulation setting. To further boost the fuzzing effectiveness, we devised custom mutation procedures tailored for the processor verification domain. Our experiments using the popular open-source RISC-V based VexRiscv processor demonstrate the effectiveness of our approach in finding intricate bugs at the processor level.
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使用覆盖引导模糊测试的高效跨层处理器验证
在本文中,我们提出了一种新的基于仿真的跨层方法,用于寄存器-传输层(RTL)的处理器验证。我们利用软件领域最先进的覆盖引导模糊技术来生成处理器级输入刺激。利用指令集模拟器(ISS)作为被测RTL处理器的参考模型,实现了高效的协同仿真。为了进一步提高模糊化的有效性,我们设计了针对处理器验证域的定制突变程序。我们使用流行的基于开源RISC-V的VexRiscv处理器进行的实验证明了我们的方法在处理器级别发现复杂错误的有效性。
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