LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension
Domain-specific Instruction Set Architecture eXtensions (ISAX) are widely adopted in the RISC-V ecosystem to accelerate emerging workloads, but implementing and validating ISAXes across different cores remains slow and fragmented. Existing frameworks still require per-core interface adaptation, and differential testing often breaks once either the microarchitecture or the ISAX changes. We present LACE, an LLM-aided multi-agent workflow that translates natural-language ISAX intents into a compact two-level IR (operation-level and HDL task-level), performs retrieval-guided localized RTL edits over large repositories, and closes the loop with a compiler-agnostic riscv-formal checking flow (a...
| Authors | Pingqing Zheng, Jiayin Qin, Fuqi Zhang et al. |
|---|---|
| Primary category | cs.AR |
| Published | 3 August 2026 |
| Last updated at source | 3 August 2026 |
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