Published In

ASPDAC '23

Document Type

Conference Proceeding

Publication Date

2023

Subjects

Compilers (Computer programs), Computer software -- Verification

Abstract

Agile hardware design enables designers to produce new design iterations efficiently. Equivalence checking is critical in ensuring that a new design iteration conforms to its specification. In this paper, we introduce an equivalence checking framework for hardware designs represented in HalideIR. HalideIR is a popular intermediate representation in software domains such as deep learning and image processing, and it is increasingly utilized in agile hardware design.We have developed a fully automatic equivalence checking workflow seamlessly integrated with HalideIR and several optimizations that leverage the incremental nature of agile hardware design to scale equivalence checking. Evaluations of two deep learning accelerator designs show our automatic equivalence checking framework scales to hardware designs of practical sizes and detects inconsistencies that manually crafted tests have missed.

Rights

© 2023 Copyright held by the owner/author(s).

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

10.1145/3566097.3567843

Persistent Identifier

https://archives.pdx.edu/ds/psu/39631

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