LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension

• URL: http://arxiv.org/abs/2608.02915v1
• Date: Mon, 03 Aug 2026 22:07:06 GMT
• Title: LACE: Large Language Model Aided Multi-Agent Framework for Agile RISC-V Instruction Extension
• Abstract summary: Domain-specific Instruction Set Architecture eXtensions (ISAX) are widely adopted in the RISC-V ecosystem to accelerate emerging workloads.<n>Existing frameworks still require per-core interface adaptation, and differential testing often breaks once either the microarchitecture or the ISAX changes.<n>We present LACE, an LLM-aided multi-agent workflow that translates natural-language ISAX intents into a compact two-level IR.
• Score: 14.290484938298524
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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 (assuming RVFI availability or instrumentation). Across four embedded RISC-V cores, LACE raises pass@1 generation accuracy from near-zero to 72.8\% within our evaluation setup, while improving code localization and reducing integration rework. The code of LACE is available at https://github.com/UMN-ZhaoLab/LACE.

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