SAMT
Optimized spatial architecture mapping for Transformer accelerators.
SAMT is a framework for optimizing dataflow mappings of Transformer inference workloads on spatial accelerators. The work combines mapping search with dynamic operator fusion to improve latency and energy efficiency across edge, mobile, and cloud platforms.
Link: arXiv.