3 papers
cs.AR2025
PrefixAgent: An LLM-Powered Design Framework for Efficient Prefix Adder Optimization
Dongsheng Zuo, Jiadong Zhu, Yang Luo +1
Prefix adders are fundamental arithmetic circuits, but their design space grows exponentially with bit-width, posing significant optimization challenges. Previous works face limita…
cs.AR2024
UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators
Dongsheng Zuo, Jiadong Zhu, Chenglin Li +1
Multipliers and multiply-accumulators (MACs) are critical arithmetic circuit components in the modern era. As essential components of AI accelerators, they significantly influence…
cs.AR2024
RL-MUL 2.0: Multiplier Design Optimization with Parallel Deep Reinforcement Learning and Space Reduction
Dongsheng Zuo, Jiadong Zhu, Yikang Ouyang +1
Multiplication is a fundamental operation in many applications, and multipliers are widely adopted in various circuits. However, optimizing multipliers is challenging due to the ex…