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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

memory size 8 KByte

biblio

Visible to the public SRAM voltage scaling for energy-efficient convolutional neural networks

Submitted by grigby1 on Thu, 06/07/2018 - 3:06pm
  • Si
  • memory power intensive
  • memory size 8 KByte
  • Micromechanical devices
  • neural nets
  • Neural Network Resilience
  • pubcrawl
  • Random access memory
  • resilience
  • Resiliency
  • low-power embedded system
  • Silicon
  • silicon-on-insulator
  • size 28 nm
  • SRAM chips
  • SRAM voltage scaling
  • Training
  • UTBB FD-SOI CMOS
  • voltage 310 mV
  • energy-efficient convolutional neural network
  • bit error injection
  • Bit error rate
  • CMOS memory circuits
  • ConvNet training
  • convolutional neural networks
  • deep learning
  • electronic engineering computing
  • elemental semiconductors
  • energy conservation
  • approximate SRAM
  • energy-quality tradeoff
  • error resiliency
  • floating-point classification accuracy
  • Hardware
  • Hardware Implementation
  • IoE platform
  • learning (artificial intelligence)
  • low-power electronics

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