CIMple delivers a 32 kb digital SRAM-based compute-in-memory accelerator for transformer self-attention that reaches 26.1 TOPS/W at 0.85 V in 28 nm with INT8 precision using dual-banked architecture and LUT-based split softmax.
A 32.2 tops/w sram compute-in-memory macro employing a linear 8-bit c-2c ladder for charge domain computation in 22nm for edge inference,
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CIMple: Standard-cell SRAM-based CIM with LUT-based split softmax for attention acceleration
CIMple delivers a 32 kb digital SRAM-based compute-in-memory accelerator for transformer self-attention that reaches 26.1 TOPS/W at 0.85 V in 28 nm with INT8 precision using dual-banked architecture and LUT-based split softmax.