GENIAL: Generative Design Space Exploration via Network Inversion for Low Power Algorithmic Logic Units

Documenti analoghi

• The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration
  di: Arnold, Felix, et al.
  Pubblicazione: (2025)
• Explicit Sign-Magnitude Encoders Enable Power-Efficient Multipliers
  di: Arnold, Felix, et al.
  Pubblicazione: (2025)
• Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV 1.0 Compliant Open-Source Processor
  di: Perotti, Matteo, et al.
  Pubblicazione: (2023)
• A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design
  di: Perotti, Matteo, et al.
  Pubblicazione: (2022)
• Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication
  di: Schönleber, Jannis, et al.
  Pubblicazione: (2023)