Reducing datacenter compute carbon footprint by harnessing the power of specialization: Principles, metrics, challenges and opportunities

T Eilam, P Bose, LP Carloni, A Cidon… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Computing is an indispensable tool in addressing climate change, but it also contributes to a
significant and steadily increasing carbon footprint, partly due to the exponential growth in …

System technology co-optimization for advanced integration

S Pal, A Mallik, P Gupta - Nature Reviews Electrical Engineering, 2024 - nature.com
Advanced integration and packaging will drive the scaling of computing systems in the next
decade. Diversity in performance, cost and scale of the emerging systems implies that …

CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱

J Bian, L Wang, S Ren, J Xu - Proceedings of the 15th ACM International …, 2024 - dl.acm.org
Training large-scale artificial intelligence (AI) models demands significant computational
power and energy, leading to increased carbon footprint with potential environmental …

On the promise and pitfalls of optimizing embodied carbon

N Bashir, D Irwin, P Shenoy - ACM SIGENERGY Energy Informatics …, 2024 - dl.acm.org
To halt further climate change, computing, along with the rest of society, must reduce, and
eventually eliminate, its carbon emissions. Recently, many researchers have focused on …

carbond: An operating-system daemon for carbon awareness

A Schmidt, G Stock, R Ohs, L Gerhorst… - ACM SIGENERGY …, 2024 - dl.acm.org
To reduce the carbon footprint of software, it is imperative that systems first become aware of
their footprint. Despite various proposals to make software carbon aware via application …

VESTA: Power Modeling with Language Runtime Events

J Raskind, T Babakol, K Mahmoud, YD Liu - Proceedings of the ACM on …, 2024 - dl.acm.org
Power modeling is an essential building block for computer systems in support of energy
optimization, energy profiling, and energy-aware application development. We introduce …

Towards Environmentally Equitable AI via Geographical Load Balancing

P Li, J Yang, A Wierman, S Ren - Proceedings of the 15th ACM …, 2024 - dl.acm.org
Fueled by the soaring popularity of foundation models, the accelerated growth of artificial
intelligence (AI) models' enormous environmental footprint has come under increased …

[PDF][PDF] Bridging the sustainability gap in serverless through observability and carbon-aware pricing

C Lin, M Shahrad - 3rd Workshop on Sustainable Computer …, 2024 - cirrus.ece.ubc.ca
Serverless computing has become a mainstream cloud computing paradigm due to its high
scalability, ease of server management, and cost-effectiveness. With cloud data centers' …

Towards a Methodology and Framework for AI Sustainability Metrics

T Eilam, P Bello-Maldonado, B Bhattacharjee… - Proceedings of the 2nd …, 2023 - dl.acm.org
Recently, we are witnessing truly groundbreaking achievements using AI models, such as
the much talked about generative large language models, the broader area of foundation …

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling

N Bashir, V Gohil, AB Subramanya, M Shahrad… - Proceedings of the …, 2024 - dl.acm.org
The rapid increase in computing demand and corresponding energy consumption have
focused attention on computing's impact on the climate and sustainability. Prior work …