Embodied carbon has been widely reported as a significant component in the full system lifecycle of various computing systems green house gas emissions. Many efforts have been undertaken to quantify the elements that comprise this embodied carbon, from tools that evaluate semiconductor manufacturing to those that can quantify different elements of the computing system from commercial and academic sources. However, these tools cannot easily reproduce results reported by server vendors' product carbon reports and the accuracy can vary substantially due to various assumptions. Furthermore, attempts to determine green house gas contributions using bottom-up methodologies often do not agree with system-level studies and are hard to rectify. Nonetheless, given there is a need to consider all contributions to green house gas emissions in datacenters, we propose the Server Carbon including Accelerator Reporter with Intelligence-based Formulation (SCARIF) tool. SCARIF has three main contributions: (1) We first collect reported carbon cost data from server vendors and design learning models to predict the embodied carbon cost so that users can get the embodied carbon cost for their server configurations. (2) We provide embodied carbon cost if users configure servers with accelerators including GPUs, and FPGAs. (3) We provide an interface of SCARIF to the ACT and GreenChip tools and demonstrate the end-to-end system flow through indifference analysis considering the embodied and operational energy and green house gas emissions on different years servers with or without accelerators. Thus, SCARIF provides an opportunity for large-scale datacenter and hyperscaler design.

翻译：蕴含碳已被广泛报道为各类计算系统全生命周期温室气体排放的重要组成部分。为量化构成蕴含碳的各要素，学界与工业界已开展诸多工作，包括评估半导体制造的工具，以及从商业和学术来源量化计算系统不同组件的工具。然而，这些工具难以复现服务器厂商产品碳报告中的结果，且因假设条件不同，其准确性可能存在显著差异。此外，采用自下而上方法估算温室气体贡献的尝试往往与系统级研究结果不一致，且难以修正。鉴于数据中心温室气体排放需考虑所有贡献因素，我们提出基于智能公式的服务器含加速器碳报告工具（SCARIF）。SCARIF主要包含三项贡献：（1）首先收集服务器厂商公布的碳成本数据，设计学习模型预测蕴含碳成本，使用户可根据自身服务器配置获取相应蕴含碳成本；（2）提供配置GPU、FPGA等加速器时服务器的蕴含碳成本估算；（3）通过SCARIF与ACT及GreenChip工具的接口，利用无差异分析展示端到端系统流程，综合考虑不同年份（含/不含加速器）服务器的蕴含能耗、运行能耗及温室气体排放。因此，SCARIF为大规模数据中心及超大规模设计提供了重要支撑。