Frontier-Aware Compensated Truncated Multiplier for Energy-Efficient Edge-AI VLSI Datapaths
Approximate multiplication is attractive for VLSI accelerators used in image processing, digital signal processing, and edge artificial intelligence because many workloads can tolerate bounded numerical error in exchange for reduced switching and arithmetic complexity. This work presents a frontier-aware compensated tr...