Promoting Green Computing in High-Energy Physics and Astrophysics

The field of green computing in high-energy physics and astrophysics is gaining increasing attention due to the exponential growth in data processing demands from experiments in these domains. As these fields continue to expand, the efficient use of computing resources becomes crucial to ensure sustainability and manage the energy consumption associated with large-scale data centers. Current challenges include optimizing energy needs during the construction, operation, and data analysis phases of experimental facilities. Despite ongoing efforts, there is a pressing need to address the sustainability of computing resources, as these challenges are expected to intensify with future experiments. Recent studies have highlighted the importance of developing strategies to counteract the rising power consumption trends in data centers. However, there remains a gap in comprehensive approaches that integrate existing technologies and identify areas for further development. This gap underscores the necessity for a detailed overview of current and anticipated energy requirements, which can guide the identification of synergies and collaborative efforts in green computing across high-energy and astrophysics projects.

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?

Due to a set of similar challenges and requirements, we welcome contributions related to computing projects in high energy physics, nuclear and astroparticle physics as well as astrophysics. To gather further insights in the realm of green computing in high-energy physics and astrophysics, we welcome articles addressing, but not limited to, the following themes:
- Investigations of algorithmic efficiency
- Optimization of code for computer architectures in HPC computing environments
- Sustainable and F.A.I.R. data management
- Machine learning enhanced modeling and simulations
- Measurement and benchmarking of energy consumption in workflows of data processing

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• FAIR² Data
• FAIR² DATA Direct Submission
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Study Protocol
• Technology and Code

Keywords: Computing, Big Data, high energy physics, astrophysics, green computing, sustainability

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.