MEDEA: A Design-Time Multi-Objective Manager for Energy-Efficient DNN Inference on Heterogeneous Ultra-Low Power Platforms

Ähnliche Einträge

• Invited Paper: FEMU: An Open-Source and Configurable Emulation Framework for Prototyping TinyAI Heterogeneous Systems
  von: Machetti, Simone, et al.
  Veröffentlicht: (2025)
• Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM
  von: Liu, Lian, et al.
  Veröffentlicht: (2025)
• X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
  von: Machetti, Simone, et al.
  Veröffentlicht: (2024)
• SynapticCore-X: A Modular Neural Processing Architecture for Low-Cost FPGA Acceleration
  von: Parameshwara, Arya
  Veröffentlicht: (2025)
• A Scalable Architecture for Efficient Multi-bit Fully Homomorphic Encryption
  von: Ma, Jiaao, et al.
  Veröffentlicht: (2025)