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The architectural sustainability indicator

Jaime Roelandts (UGent) , Ajeya Naithani (UGent) and Lieven Eeckhout (UGent)
(2025) IEEE COMPUTER ARCHITECTURE LETTERS. 24(2). p.205-208
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Abstract
Computing devices are responsible for a significant fraction of the world's total carbon footprint. Designing sustainable systems is a challenging endeavor because of the huge design space, the complex objective function, and the inherent data uncertainty. To make matters worse, a design that seems sustainable at first, might turn out to not be when taking rebound effects into account. In this paper, we propose the Architectural Sustainability Indicator (ASI), a novel metric to assess the sustainability of a given design and determine whether it is strongly, weakly, or unsustainable. ASI provides insight and hints for turning unsustainable and weakly sustainable design points into strongly sustainable ones that are robust against potential rebound effects. A case study illustrates how ASI steers Scalar Vector Runahead, a weakly sustainable hardware prefetching technique, into a strongly sustainable one while offering a 3.2x performance boost.
Keywords
Sustainable development, Vectors, Carbon footprint, Prefetching, Power demand, Hardware, Computational modeling, Registers, Global warming, Uncertainty, Computer architecture, modeling, sustainable development

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Citation

Please use this url to cite or link to this publication:

MLA
Roelandts, Jaime, et al. “The Architectural Sustainability Indicator.” IEEE COMPUTER ARCHITECTURE LETTERS, vol. 24, no. 2, 2025, pp. 205–08, doi:10.1109/LCA.2025.3576891.
APA
Roelandts, J., Naithani, A., & Eeckhout, L. (2025). The architectural sustainability indicator. IEEE COMPUTER ARCHITECTURE LETTERS, 24(2), 205–208. https://doi.org/10.1109/LCA.2025.3576891
Chicago author-date
Roelandts, Jaime, Ajeya Naithani, and Lieven Eeckhout. 2025. “The Architectural Sustainability Indicator.” IEEE COMPUTER ARCHITECTURE LETTERS 24 (2): 205–8. https://doi.org/10.1109/LCA.2025.3576891.
Chicago author-date (all authors)
Roelandts, Jaime, Ajeya Naithani, and Lieven Eeckhout. 2025. “The Architectural Sustainability Indicator.” IEEE COMPUTER ARCHITECTURE LETTERS 24 (2): 205–208. doi:10.1109/LCA.2025.3576891.
Vancouver
1.
Roelandts J, Naithani A, Eeckhout L. The architectural sustainability indicator. IEEE COMPUTER ARCHITECTURE LETTERS. 2025;24(2):205–8.
IEEE
[1]
J. Roelandts, A. Naithani, and L. Eeckhout, “The architectural sustainability indicator,” IEEE COMPUTER ARCHITECTURE LETTERS, vol. 24, no. 2, pp. 205–208, 2025.
@article{01KAV3F3SE1E4HHJ6DXWD7JE28,
  abstract     = {{Computing devices are responsible for a significant fraction of the world's total carbon footprint. Designing sustainable systems is a challenging endeavor because of the huge design space, the complex objective function, and the inherent data uncertainty. To make matters worse, a design that seems sustainable at first, might turn out to not be when taking rebound effects into account. In this paper, we propose the Architectural Sustainability Indicator (ASI), a novel metric to assess the sustainability of a given design and determine whether it is strongly, weakly, or unsustainable. ASI provides insight and hints for turning unsustainable and weakly sustainable design points into strongly sustainable ones that are robust against potential rebound effects. A case study illustrates how ASI steers Scalar Vector Runahead, a weakly sustainable hardware prefetching technique, into a strongly sustainable one while offering a 3.2x performance boost.}},
  author       = {{Roelandts, Jaime and Naithani, Ajeya and Eeckhout, Lieven}},
  issn         = {{1556-6056}},
  journal      = {{IEEE COMPUTER ARCHITECTURE LETTERS}},
  keywords     = {{Sustainable development,Vectors,Carbon footprint,Prefetching,Power demand,Hardware,Computational modeling,Registers,Global warming,Uncertainty,Computer architecture,modeling,sustainable development}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{205--208}},
  title        = {{The architectural sustainability indicator}},
  url          = {{http://doi.org/10.1109/LCA.2025.3576891}},
  volume       = {{24}},
  year         = {{2025}},
}
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