NVIDIA cuOpt 中的 mPDLP 将决策优化扩展至 1 亿变量以上
Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt
NVIDIA cuOpt 中的 mPDLP 将 GPU 加速决策优化扩展到 1 亿变量以上，以应对供应链 SKU、线路与约束持续增长以及电网实时平衡更多分布式电源的需求。cuOpt 此前已实现相对 CPU 超过 10x 的加速。
Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real...
Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in real time. To meet these challenges, teams need to evaluate larger models and more uncertainty within a practical planning window. NVIDIA cuOpt GPU-accelerated decision optimization can already deliver speedups of more than 10x over CPU…
来源：NVIDIA Technical Blog · developer.nvidia.com