MIT researchers (Han Lab) introduced LEGO, a compiler-like framework that takes tensor workloads (e.g., GEMM, Conv2D, attention, MTTKRP) and automatically generates synthesizable RTL for spatial accelerators—no handwritten templates. LEGO’s front end expresses workloads and dataflows in a relation-centric affine representation, builds FU (functional unit) interconnects and on-chip memory layouts for reuse, and supports fusing multiple […]
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