About this Research Topic
As an initial step an overview of current and anticipated energy needs related to computing in the context of these fields of fundamental physics is required. That overview is useful for identifying applications and technologies already available and enabling a sustainable usage of resources. Based on the overview of current status it is also planned to define areas where extra developments for a more efficient exploitation of resources are most beneficial. Ideally also some similarities in computational requirements can be identified in projects of high energy and astrophysics, so that actual synergies and common efforts towards solutions in green computing will be worked out. In this comprehensive approach also initiatives for F.A.I.R. data enabling long term data preservation can be considered. Other goals are the definition of cross-disciplinary measures in related computing centers and finally guidelines for more resource-efficient workflows related to research data generation and management particularly for large scale experiments.
Given the high relevance of energy-efficiency in future computing challenges of data-intensive fundamental physics, contributions addressing aspects of energy consumption of ongoing projects as well as research on opportunities or solutions towards increased future sustainability are considered. 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.
The major topics of interest to this collection include but are not limited to:
- 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
We invite authors to mainly contribute to this Research Topic in the form of Original Research Papers, Mini-Reviews and Perspective articles.
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.