An autonomous research loop, inspired by Andrej Karpathy's work, was adapted to optimize a CPU's microarchitecture. The system proposed, implemented, and evaluated hypotheses for a SystemVerilog CPU core, achieving significant improvements in performance and efficiency. This project highlights the potential of AI-driven optimization in hardware design, emphasizing the critical role of robust verification processes. AI
IMPACT Demonstrates AI's capability to optimize hardware design, potentially accelerating chip development cycles.
RANK_REASON This is a research project demonstrating an AI loop applied to hardware design, not a frontier model release or significant industry event.
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- Andrej Karpathy
- auto-arch-tournament
- CoreMark
- Gowin GW2A-LV18
- nextpnr
- riscv-formal
- RV32IM
- RVFI
- SystemVerilog
- Tang Nano 20K
- Verilator
- VexRiscv
- YAML
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