Unicorn-CIM shows that FP16 DNNs on SRAM CIM crash from exponent bit flips, and a shared-exponent fine-tuning plus lightweight Hamming ECC restores resilience with about 9% logic overhead.
34.2 a 16nm 96kb integer/floating- point dual-mode-gain-cell-computing-in-memory macro achieving 73.3- 163.3tops/w and 33.2-91.2tflops/w for ai-edge devices,
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Unicorn-CIM: Uncovering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory
Unicorn-CIM shows that FP16 DNNs on SRAM CIM crash from exponent bit flips, and a shared-exponent fine-tuning plus lightweight Hamming ECC restores resilience with about 9% logic overhead.