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 首次将 GPU 加速决策优化扩展到 1 亿变量以上。随着供应链 SKU、线路和约束持续膨胀，能源电网需实时平衡更多分布式来源，团队必须在实际规划窗口内评估更大模型和更多不确定性，而 cuOpt 相比 CPU 已可实现 10 倍以上加速。
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 Developer Blog · developer.nvidia.com