Opportunities and Challenges of High-Performance Computing for AI4Science: Theory, Algorithm and Optimization
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 41
Special Issue Editors
Interests: scientific computing; HPC; scientific data; AI
Interests: high performance computing; AI infrastructure; AI4S
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the progresses of theory, algorithm and optimization techniques of high performance computing (HPC), especially for the applications of AI for science (AI4S).
AI4S, as a transformative research paradigm integrating data-driven modeling with prior knowledge, is breaking down academic barriers, enabling deep interdisciplinary integration and shaping the future of science. However, there are still many key challenges in AI4S, including data scarcity, cross-scale modeling, efficient algorithms, and performance optimization. Today, AI4S is not only scientific tool but also a profound paradigm of research, which will open new frontiers in scientific exploration.
The past decade has witnessed a tremendous increase in the computing power of high-end supercomputers, and the mainstream design philosophy, due to hardware technology and power limitations, is to pursue higher FLOPs with domain-specific architectures, e.g., tensor cores. As a result, high performance computing today require various dedicated optimizations to deliver performance, leading to a rethinking of algorithm design and parallel implementation for applications such as AI4S.
Papers that showcase innovative theories, novel algorithms, and practical optimizations targeting high performance computing that advance the state of AI for science are welcome. We particularly encourage papers that demonstrate the successful deployment of these technologies in different research fields.
Dr. Fengyao Hou
Dr. James Lin
Dr. Ying Liu
Guest Editors
Manuscript Submission Information
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Keywords
- high-performance computing (HPC)
- supercomputer
- AI for science (AI4S)
- algorithm
- optimization
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