Researchers at the University of Connecticut and Carnegie Mellon University have developed new methods that harness the parallel computing power of graphics processing units (GPUs) to accelerate dynamic programming for combinatorial optimization. One of the studies, GPU-Accelerated Relaxed Decision Diagrams for Branch-and-Bound Optimization, received the Best Paper Award at the 2026 International Conference on Principles […]