教程：用 Meta Rebalancer 做任务放置与优化
How to Use Meta’s Rebalancer for Task Placement & Optimization
Meta 开源了个 Rebalancer 求解器，这篇手把手教你用 Python 调它的 C++ 核心，把任务分配到机房机架上，还拿 HiGHS 对比了效果。
这是一篇编程教程，介绍 Meta 开源的 Rebalancer 求解器，使用 C++ 核心与 Python bindings。教程演示如何建模 datacenter、在 rack 间分配 task，并处理约束与 goal 优先级。文中还将 Rebalancer 的 local search 与精确求解器 HiGHS 在公开 benchmark 上做了对比。
How to Use Meta’s Rebalancer for Task Placement & Optimization
In this comprehensive coding tutorial, we explore Meta's Rebalancer assignment solver using its C++ core and Python bindings. Learn how to build datacenters, manage task placements across racks, handle constraints and goal priorities, and compare local search against the exact HiGHS solver using published benchmarks. The post How to Use Meta’s Rebalancer for Task Placement & Optimization appeared first on MarkTechPost .
