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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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GREENER principles for environmentally sustainable computational science.

Loïc Lannelongue^1,2,3,4, Hans-Erik G Aronson⁵, Alex Bateman⁶

¹Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. ll582@medschl.cam.ac.uk.

Nature Computational Science

|January 4, 2024

Summary

Scientific computing has a large carbon footprint. Environmentally Sustainable Computational Science (ESCS) offers opportunities for growth through greater awareness, impact reporting, and adopting best practices.

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Area of Science:

Computational Science
Environmental Science
Computer Science Sustainability

Background:

The substantial carbon footprint of scientific computing presents environmental challenges.
Environmentally Sustainable Computational Science (ESCS) is an emerging field with significant potential.
Addressing these challenges requires a coordinated approach to foster sustainable growth.

Purpose of the Study:

To provide a current overview of the state of Environmentally Sustainable Computational Science (ESCS).
To introduce the GREENER principles for sustainable computational practices.
To offer guidance on best practices for environmentally conscious computing in science.

Main Methods:

Literature review and synthesis of current ESCS landscape.
Development and presentation of the GREENER principles.
Formulation of actionable best practices for the scientific community.

Main Results:

ESCS is a nascent field with substantial opportunities for development.
The GREENER principles offer a framework for sustainable computational science.
Identified key areas for improvement: awareness, transparency, impact estimation, and reporting.

Conclusions:

A coordinated approach is essential for the sustainable growth of computational science.
Implementing the GREENER principles and best practices can mitigate environmental impacts.
Increased awareness and transparent reporting are crucial for advancing ESCS.