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This research paper proposes strategies to reduce energy consumption and promote sustainability in high-energy physics and astrophysics computing infrastructures. The study aims to assess current energy usage patterns in these data-intensive fields and identify opportunities for resource optimization through improved technologies and cross-disciplinary collaboration. The work focuses on finding synergies between high-energy physics and astrophysics projects to enhance computational efficiency while reducing environmental impact.
Why it matters
High-energy physics and astrophysics generate massive amounts of data requiring substantial computational resources and energy consumption. Implementing green computing strategies in these fields could significantly reduce carbon footprints while maintaining scientific productivity, potentially serving as a model for other data-intensive scientific disciplines.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Abstract: This research topic aims to explore and promote strategies for green computing in high-energy physics and astrophysics. The primary objectives include assessing current energy consumption patterns, identifying opportunities for resource optimization, and fostering cross-disciplinary collaborations to enhance sustainability. Key questions to be addressed include: What are the current energy demands in these fields? How can existing technologies be leveraged for more efficient resource usage? What synergies can be identified between high-energy and astrophysics projects to promote green computing?
Source: Promoting Green Computing in High Energy Physics and Astrophysics