Reducing datacenter compute carbon footprint by harnessing the power of specialization: Principles, metrics, challenges and opportunities
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 …
significant and steadily increasing carbon footprint, partly due to the exponential growth in …
System technology co-optimization for advanced integration
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 …
decade. Diversity in performance, cost and scale of the emerging systems implies that …
CAFE: Carbon-Aware Federated Learning in Geographically Distributed Data Centers✱
Training large-scale artificial intelligence (AI) models demands significant computational
power and energy, leading to increased carbon footprint with potential environmental …
power and energy, leading to increased carbon footprint with potential environmental …
On the promise and pitfalls of optimizing embodied carbon
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 …
eventually eliminate, its carbon emissions. Recently, many researchers have focused on …
carbond: An operating-system daemon for carbon awareness
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 …
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 …
optimization, energy profiling, and energy-aware application development. We introduce …
Towards Environmentally Equitable AI via Geographical Load Balancing
Fueled by the soaring popularity of foundation models, the accelerated growth of artificial
intelligence (AI) models' enormous environmental footprint has come under increased …
intelligence (AI) models' enormous environmental footprint has come under increased …
[PDF][PDF] Bridging the sustainability gap in serverless through observability and carbon-aware pricing
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' …
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 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
The rapid increase in computing demand and corresponding energy consumption have
focused attention on computing's impact on the climate and sustainability. Prior work …
focused attention on computing's impact on the climate and sustainability. Prior work …