A parameter-extraction framework predicts ReRAM IMC performance across array sizes and resolutions to maximize energy efficiency under power and error limits without exhaustive simulations.
Modeling and compensation of ir drop in crosspoint accelerators of neural networks
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Design Space Exploration for ReRAM-based Architectures to Address Scaling Non-idealities
A parameter-extraction framework predicts ReRAM IMC performance across array sizes and resolutions to maximize energy efficiency under power and error limits without exhaustive simulations.
- A comparative study on power delivery aspects of compute-in/near-memory approaches using DRAM