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20222025
most citedHardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

3 citations · 5 across the 3 of their papers we have counts for

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cs.AR2025

Rapid yet accurate Tile-circuit and device modeling for Analog In-Memory Computing

J. Luquin, C. Mackin, S. Ambrogio +11

Analog In-Memory Compute (AIMC) can improve the energy efficiency of Deep Learning by orders of magnitude. Yet analog-domain device and circuit non-idealities -- within the analog…