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μ•„λž˜ λ‚΄μš©μ„ λΆ™μ—¬λ„£μœΌμ„Έμš”:

ν”„λ‘œμ νŠΈ: AI 컴파일러 μ΅œμ ν™”

ν™˜κ²½

  • OS: Ubuntu (x86-64, Dell Latitude E6440)
  • clang/llvm 18.1.3 μ„€μΉ˜ μ™„λ£Œ
  • Python νŒ¨ν‚€μ§€: stable-baselines3, gymnasium, numpy, torch, tensorboard, tqdm, rich μ„€μΉ˜ μ™„λ£Œ

파일 λͺ©λ‘

  • test_loop.c : ν…ŒμŠ€νŠΈμš© ν–‰λ ¬ κ³±μ…ˆ C μ½”λ“œ (main ν•¨μˆ˜ 포함)
  • ir_feature_extractor.py : IRμ—μ„œ 7차원 νŠΉμ§• 벑터 μΆ”μΆœ
  • compiler_env.py : κ°•ν™”ν•™μŠ΅ ν™˜κ²½ (LoopUnrollEnv)
  • train.py : PPO ν•™μŠ΅ μ‹€ν–‰
  • benchmark.py : μ„±λŠ₯ μΈ‘μ •

ν˜„μž¬ μ§„ν–‰ 상황

  • [μ™„λ£Œ] ν™˜κ²½ μ„ΈνŒ…
  • [μ™„λ£Œ] IR νŠΉμ§• μΆ”μΆœ ν…ŒμŠ€νŠΈ
  • [μ™„λ£Œ] 500μŠ€ν… ν•™μŠ΅ ν…ŒμŠ€νŠΈ β†’ arm64_base.zip μ €μž₯됨
  • [진행쀑] 5000μŠ€ν… ν•™μŠ΅ 쀑

λ‹€μŒ λͺ©ν‘œ

  • 5000μŠ€ν… ν•™μŠ΅ ν›„ benchmark κ²°κ³Ό 확인
  • λͺ©ν‘œ: 평균 속도 ν–₯상 +10% 이상
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