AI 中文总结
研究高性能计算作业级碳足迹和水足迹估算，提出统一核算框架，涵盖运营与隐含影响，发现线程数与总足迹关系及水、碳受不同影响主导，完善了对运行时配置可持续性成本的评估。
AI 中文摘要
传统上，高性能计算评估主要关注性能和能源，但仅这些指标无法反映运行时配置的可持续性成本。我们提出了一个统一的作业级水和碳核算框架，涵盖运营和隐含影响。结果表明，较高的线程数通常会减少总足迹，但在较高线程数时收益会减少。水主要受隐含影响主导，而碳主要受运营影响主导。
英文摘要
High performance computing evaluation has traditionally focused on performance and energy, but these metrics alone cannot capture the sustainability cost of runtime configurations. We proposes a unified job-level water and carbon accounting framework with both operational and embodied impacts. Results show that higher thread counts generally reduce total footprint, but the benefit diminishes at higher thread counts. Water is mainly dominated by embodied impact, whereas carbon is mainly dominated by operational impact.
