Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices

Documenti analoghi

• A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge
  di: Huang, Longwei, et al.
  Pubblicazione: (2023)
• xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems
  di: Rutishauser, Georg, et al.
  Pubblicazione: (2024)
• VEXP: A Low-Cost RISC-V ISA Extension for Accelerated Softmax Computation in Transformers
  di: Wang, Run, et al.
  Pubblicazione: (2025)
• Bespoke Co-processor for Energy-Efficient Health Monitoring on RISC-V-based Flexible Wearables
  di: Vergos, Theofanis, et al.
  Pubblicazione: (2025)
• CIMR-V: An End-to-End SRAM-based CIM Accelerator with RISC-V for AI Edge Device
  di: and, Yan-Cheng Guo, et al.
  Pubblicazione: (2025)