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Performance Interfaces for Hardware Accelerators

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Proposes a precise accelerator performance IR called LPN and an open toolchain ltc that converts RTL-derived IR into executable performance interfaces and simulators. Reports LPN models match hardware with ~1.7% average error, generated human-readable interfaces average ~20% error, and the auto-generated simulator runs 1–3 orders of magnitude faster than RTL simulators. Evaluations cover DL, RPC serialization, JPEG decoding, genome alignment, and RMT pipelines; using SMT proofs finds a missing buffer fix that yields a 37% speedup.

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  1. 0:00Introduction
  2. 1:48Why accelerators need interfaces
  3. 2:31What is a performance interface
  4. 4:20Deriving interfaces from hardware
  5. 5:26Latency Petri Nets (LPN) as IR
  6. 6:31How LPN models performance
  7. 8:17Building LPN for VTA
  8. 9:25LPN model accuracy
  9. 10:28Transforming LPN to interfaces
  10. 11:51LPN tools beyond interfaces
  11. 13:17Conclusion
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