Yintao He

Multi-primitive in-memory computing for Monte Carlo tree search

Tergel Molom-Ochir, Benjamin F. Morris, Yintao He, Archit Gajjar, Giacomo Pedretti, Hai Helen Li, et al.

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…Read more