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arXiv AI · 2026/7/31 04:00:00

GoGoTB: Agentic RTL Verification with Specification-Grounded Coverage Closure

AI 中文解读
芯片验证新突破!这套名叫GoGoTB的系统,给AI装上“项目管理大脑”,让芯片bug无处遁形。过去AI虽能辅助设计,但经常“各干各的”,就像流水线工人不沟通,零件接口对不上,最后还得靠人工返工。GoGoTB则像个全能监理:一边严格把关每个环节,一边按需调用设计经验,更妙的是给每个检查点都“贴标签”——哪个功能没测到,一看便知,能直接修正。实测中,它无需人工干预,在8款芯片设计上全部成功搭建验证环境,功能覆盖率高达83%以上,远超以往。这意味着将来的芯片,尤其是手机处理器、AI加速卡,在出厂前能接受更彻底的“体检”,缺陷概率大幅降低。对普通人来说,电子产品会更可靠,报废返修变少,成本更可控;同时,芯片设计自动化提升,未来智能硬件迭代也能更快和大家见面。
arXiv:2607.26181v1 Announce Type: new Abstract: Functional verification dominates integrated circuit (IC) front-end engineering effort, and a single missed bug that escapes to silicon can trigger a costly respin. Recent large language models (LLMs) offer new opportunities to automate this process, yet existing LLM-based approaches generate each component through independent single-turn calls with no shared context, leaving interface mismatches undetected and reported coverage disconnected from specification requirements. To address these challenges, we present GoGoTB, an agentic framework that achieves end-to-end verification closure through three subsystems: an agentic execution control layer, an evolvable knowledge system, and specification-grounded coverage closure. The execution control layer separates deterministic enforcement from LLM reasoning at every tool and stage boundary. The knowledge system dispatches methodology and design-specific expertise on demand. The coverage framework anchors every bin to a named specification behavior so that each residual gap has a diagnosable root cause and a targeted remedy. Tested on 8 register transfer level (RTL) designs without any human intervention, GoGoTB achieves 100\% environment generation success and averages 98.4\% line, 97.2\% branch, 97.0\% toggle, and 83.2\% functional coverage. No prior work successfully generates a complete verification environment or achieves meaningful coverage on the same benchmarks.
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