MADiC: A 3nm 7.4TOPS/mm ² , 17.4TOPS/W Generative Diffusion Accelerator Enabled by Hardware-Compiler Co-Optimization of Memory Hierarchy and Operator Parallelism

This work presents MADiC, a 3nm 0.338mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> diffusion accelerator for generative image editing on edge devices. MADiC features design-time L1/L2 memory optimization, cross-loop feature map allocation with write-over-read relaxation, and activation-aware input preloading with concurrent resizing. Operating at 0.575V and 546MHz, it delivers 7.4TOPS/mm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and 17.4TOPS/W when running the Diffusion ConvNet model.