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A Voltage-Mode Sensing Scheme with Differential-Row Weight Mapping for Energy-Efficient RRAM-Based In-Memory Computing
- Source :
- 2020 IEEE Symposium on VLSI Technology.
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- The energy efficiency of RRAM-based in-memory matrix-vector multiplication (MVM) depends largely on the output sensing mechanism. We design a novel voltage-mode sensing configuration with differential-row weight mapping that achieves a 3.6x improvement in energy per multiply-accumulate (MAC) at the same read voltage compared to current-mode sensing, and avoids the nonlinear source-line dynamics issue that occurs in conventional voltage-mode sensing. We verify the MVM performance of our scheme by performing measurements using a RRAM array monolithically integrated with CMOS voltage-mode neurons. We compare the effects of weight normalization on MVM accuracy under two different weight mapping schemes, and provide guidance in selecting the scheme based on weight sparsity and consistency of the L-1 weight norm across the columns.
- Subjects :
- Very-large-scale integration
Computer science
020207 software engineering
02 engineering and technology
020202 computer hardware & architecture
Resistive random-access memory
Signal-to-noise ratio
CMOS
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Multiplication
Energy (signal processing)
Voltage
Efficient energy use
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE Symposium on VLSI Technology
- Accession number :
- edsair.doi...........ebd1620e288e987807679bad708d0454