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Mnemosyne: Neural Network for Pattern Recognition

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Mnemosyne: Neural Network for Pattern Recognition. ELEC 522. Steve So, Luke Hoban. Block Diagram ... Post Place & Route Static Timing Report. Design statistics: ... – PowerPoint PPT presentation

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Title: Mnemosyne: Neural Network for Pattern Recognition


1
Mnemosyne Neural Network for Pattern Recognition
  • ELEC 522
  • Steve So, Luke Hoban

2
Block Diagram
3
General Algorithm
4
Control Flow
5
Neuron Schematic
6
VHDL Hierarchy
7
Floor plan
8
FPGA Editor
9
Floorplan for Full Custom
10
System Timing
  • Post Place Route Static Timing Report
  • Design statistics
  • Minimum period 9.964ns (Maximum frequency
    100.361MHz)
  • Maximum combinational path delay 12.236ns
  • Maximum net delay 4.832ns
  • (Based on Maximum delay an 80Mhz clock is
    possible)

11
System Timing for Full Custom
  • Longest path 20ns
  • Estimated frequency 50MHz
  • 108 cycles per training
  • 460,000 trainings per second

12
XPower estimates
  • Tried to generate .vcd with ModelSim
  • Produced very little data for a 300 cycle sim
  • Did not provide frequency estimates for signals
    in Xpower
  • Quiescent power estimated at 150mW

13
Progress
  • Entire system coded in VHDL
  • Test benches for controller, and whole system
  • Controller seems to be behaving correctly
  • Datapath has bugs

14
Conclusion
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