{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/gain-and-pain-of-a-reliable-delay-model","title":"Gain and Pain of a Reliable Delay Model","arxiv_id":"2107.06814","date":"2021-06-25","proceeding":null,"authors":["Jürgen Maier"],"abstract":"State-of-the-art digital circuit design tools almost exclusively rely on pure and inertial delay for timing simulations. While these provide reasonable estimations at very low execution time in the average case, their ability to cover complex signal traces is limited. Research has provided the dynamic Involution Delay Model (IDM) as a promising alternative, which was shown (i) to depict reality more closely and recently (ii) to be compatible with modern simulation suites. In this paper we complement these encouraging results by experimentally exploring the behavioral coverage for more advanced circuits. In detail we apply the IDM to three simple circuits (a combinatorial loop, an SR latch and an adder), interpret the delivered results and evaluate the overhead in realistic settings. Comparisons to digital (inertial delay) and analog (SPICE) simulations reveal, that the IDM delivers very fine-grained results, which match analog simulations very closely. Moreover, severe shortcomings of inertial delay become apparent in our simulations, as it fails to depict a range of malicious behaviors. Overall the Involution Delay Model hence represents a viable upgrade to the available delay models in modern digital timing simulation tools.","url_abs":"https://arxiv.org/abs/2107.06814v2","url_pdf":"https://arxiv.org/pdf/2107.06814v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"gain-and-pain-of-a-reliable-delay-model","repo_url":"https://github.com/jmaier0/idm_evaluation","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}