Perspectives on Sustainable Computational Science and Engineering

📅 2026-09-24
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🤖 AI Summary
This study addresses the longstanding oversight in Computational Science and Engineering (CSE), which has predominantly been regarded as an enabler of external sustainability while its own internal sustainability remains critically neglected. To bridge this gap, this work establishes sustainability as a core design principle for CSE by constructing a dual analytical framework encompassing both internal and external dimensions, anchored by two pillars: sustainable computing and sustainable software. The methodology integrates systems engineering paradigms, interdisciplinary analysis, and case studies, substantiated through evaluation frameworks from software engineering and high-performance computing. Ultimately, this research advances a theoretical perspective on sustainable CSE, formulates best practice guidelines alongside implementation recommendations for stakeholders, and promotes the development of quantifiable sustainability assessment standards to systematically guide the field toward enduring ecological and operational viability.
📝 Abstract
Computational Science and Engineering (CSE) combines expertise at the intersection of engineering, applied mathematics, and computer science to form powerful methods for model-based design and model-based decision support across disciplines. Today, CSE methods and tools have an impact as an enabling technology in the development of increasingly sustainable products, processes, and operations. However, sustainability is rarely considered holistically in the context of CSE itself. This paper develops a perspective on sustainability in CSE by distinguishing CSE as an enabler of sustainability in application domains from sustainability within CSE itself, which rests on two complementary pillars: sustainable computing and sustainable software. We present illustrative examples for these pillars and derive recommendations and best practices for CSE stakeholders. Developing an understanding of how sustainability can create added value in CSE is an important future direction for the field. This calls for a concerted effort within the CSE community to define measurable outcomes and best practices that embed sustainability as a core design principle rather than an afterthought.
Problem

Research questions and friction points this paper is trying to address.

Computational Science and Engineering
Sustainability
Sustainable Computing
Sustainable Software
Innovation

Methods, ideas, or system contributions that make the work stand out.

Sustainable Computing
Sustainable Software
Computational Science and Engineering
Core Design Principle
Sustainability Metrics
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