标题： 并非所有用水量都相同：一种用于可持续计算的水应力加权度量方法 显示英文标题

标题： Not All Water Consumption Is Equal: A Water Stress Weighted Metric for Sustainable Computing

摘要： 水资源消耗是计算可持续性日益关键的维度，尤其是在人工智能工作负载迅速扩展的情况下。 然而，当前的水资源影响评估常常忽视水资源紧张程度更严重的地点和时间。 为填补这一空白，我们提出了SCARF，这是首个通用框架，通过考虑水资源紧张的空间和时间变化来评估计算的水资源影响。 SCARF 计算一个调整后的水资源影响（AWI）指标，该指标考虑了随时间变化的消耗量和当地水资源紧张程度。 通过在大型语言模型服务、数据中心和半导体制造工厂上的三个案例研究，我们展示了通过优化位置和时间选择来减少水资源影响的隐藏机会，为水资源可持续计算铺平了道路。 代码可在 https://github.com/jojacola/SCARF 获取。 显示英文摘要

摘要： Water consumption is an increasingly critical dimension of computing sustainability, especially as AI workloads rapidly scale. However, current water impact assessment often overlooks where and when water stress is more severe. To fill in this gap, we present SCARF, the first general framework that evaluates water impact of computing by factoring in both spatial and temporal variations in water stress. SCARF calculates an Adjusted Water Impact (AWI) metric that considers both consumption volume and local water stress over time. Through three case studies on LLM serving, datacenters, and semiconductor fabrication plants, we show the hidden opportunities for reducing water impact by optimizing location and time choices, paving the way for water-sustainable computing. The code is available at https://github.com/jojacola/SCARF.