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LLM agents design RISC-V CPUs with FPGA evaluation, speeding up development

Researchers have developed a new environment for designing RISC-V CPUs using LLM agents and FPGA-in-the-loop evaluation. This approach significantly speeds up the design and decision-making process compared to traditional RTL simulation. The system was used to develop a single-cycle RV32I core into a three-wide out-of-order RV32IM core, which achieved 5.61 CoreMark/MHz at 130 MHz on an Artix-7 FPGA. This FPGA evaluation was 9.6x faster than RTL simulation for an 8,000 CoreMark iteration run and successfully identified performance degradation missed by shorter diagnostic tests. AI

IMPACT Accelerates hardware design cycles by leveraging LLMs and FPGAs for rapid prototyping and evaluation.

RANK_REASON Academic paper detailing a novel methodology for CPU design. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM agents design RISC-V CPUs with FPGA evaluation, speeding up development

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Academic paper detailing a novel methodology for CPU design. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Leo Itoh, Junichiro Kadomoto ·

    LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop Evaluation

    arXiv:2610.39570v1 Announce Type: cross Abstract: Long-run RTL simulation of CPU candidates can take hours, while short diagnostic runs may miss performance degradation that emerges later in execution. This evaluation cost can delay design decisions in LLM-agent-based CPU develop…