Proving Functional Correctness of Weakly Programmable IPs - A Case Study with Formal Property Checking

Loitz, Sacha; Wedler, Markus; Brehm, Christian; Vogt, Timo; Wehn, Norbert; Kunz, Wolfgang

doi:10.1109/sasp.2008.4570785

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…Several techniques exist ( [43]- [50]) which first compute a joint model of hardware and software and then check properties on that model. Other approaches [51], [52] apply compositional reasoning. Xie et al [51] check component-based systems and present a scenario-system development-in which requirements for subcomponents, hardware or software, are created.…”

Section: Related Workmentioning

confidence: 99%

“…Although the requirements are used in verification, they result from partitioning and not from verification as in our second approach. Loitz et al [52] first verify the assuming certain constraints on the environment and then check that the software respects these constraints. In a sense, they aim at the same goal as our work does, but start from the opposite side.…”

Section: Related Workmentioning

confidence: 99%

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Software/Hardware Co-Verification for Custom Instruction Set Processors

et al. 2021

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Verification of software and processor hardware usually proceeds separately, software analysis relying on the correctness of processors executing machine instructions. This assumption is valid as long as the software runs on standard CPUs that have been extensively validated and are in wide use. However, for processors exploiting custom instruction set extensions to meet performance and energy constraints the validation might be less extensive, challenging the correctness assumption. In this paper we present a novel formal approach for hardware/software co-verification targeting processors with custom instruction set extensions. We detail two different approaches for checking whether the hardware fulfills the requirements expected by the software analysis. The approaches are designed to explore a tradeoff between generality of the verification and computational effort. Then, we describe the integration of software and hardware analyses for both techniques and describe a fully automated tool chain implementing the approaches. Finally, we demonstrate and compare the two approaches on example source code with custom instructions, using state-of-the-art software analysis and hardware verification techniques.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%