Totally green

Author:

Chang Jichuan1,Meza Justin1,Ranganathan Parthasarathy1,Shah Amip1,Shih Rocky1,Bash Cullen1

Affiliation:

1. HP Labs, Palo Alto, CA, USA

Abstract

The environmental impact of servers and datacenters is an important future challenge. System architects have traditionally focused on operational energy as a proxy for designing green servers, but this ignores important environmental implications from server production (materials, manufacturing, etc.). In contrast, this paper argues for a lifecycle focus on the environmental impact of future server designs, to include both operation and production. We present a new methodology to quantify the total environmental impact of system design decisions. Our approach uses the thermodynamic metric of exergy consumption, adapted and validated for use by system architects. Using this methodology, we evaluate the lifecycle impact of several example system designs with environment-friendly optimizations. Our results show that environmental impact from production can be important (around 20% on current servers and growing) and system design choices can reduce this component (by 30--40%). Our results also highlight several, sometimes unexpected, cross-interactions between the environmental impact of production and operation that further motivate a total lifecycle emphasis for future green server designs.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Environmental Cost of High Performance Computing System Simulation;2024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2024-03-20

2. Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

3. Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

4. Comparative eco-efficiency assessment of cybersecurity solutions;Environmental Impact Assessment Review;2023-05

5. ACT;Proceedings of the 49th Annual International Symposium on Computer Architecture;2022-06-11

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