Jul 2026
Multi-primitive in-memory computing for Monte Carlo tree search
Monte Carlo tree search (MCTS) enables artificial intelligence (AI) decision-making, but requires 55-300 W on conventional processors, limiting edge deployment. In-memory computing (IMC) is energy-efficient on regular workloads but has been considered incompatible with irregular multi-phase algorithms. We introduce pha...
Tergel Molom-Ochir, Benjamin F. Morris, Yintao He et al.
· arXiv.org · 0 citations