构建AI与仿真软件统一生态，推动科学发现
Toward a Cohesive AI and Simulation Software Ecosystem for Scientific Innovation
- 整合AI与仿真工具链，实现跨平台兼容
- 通过E4S和Spack支持标准化环境部署
- 适合高性能计算与跨学科科研团队使用
本文探讨了融合人工智能（AI）与建模仿真（ModSim）工具的集成软件栈对推进科学发现的重要性。作者倡导建立统一的AI/ModSim软件生态系统，确保在多种高性能计算系统上的兼容性，提升部署便利性、版本管理与二进制分发效率。核心挑战在于协调AI与仿真在构建流程、依赖管理及兼容性上的差异。强调持续集成、社区共治以及与美国能源部（DOE）合作的重要性。建议通过极端规模科学软件堆栈（E4S）和Spack等举措，打造可移植、一体化的科学软件生态，促进跨领域创新与新科学突破。
原文摘要 · Abstract (English)
In this paper, we discuss the need for an integrated software stack that unites artificial intelligence (AI) and modeling and simulation (ModSim) tools to advance scientific discovery. The authors advocate for a unified AI/ModSim software ecosystem that ensures compatibility across a wide range of software on diverse high-performance computing systems, promoting ease of deployment, version management, and binary distribution. Key challenges highlighted include balancing the distinct needs of AI and ModSim, especially in terms of software build practices, dependency management, and compatibility. The document underscores the importance of continuous integration, community-driven stewardship, and collaboration with the Department of Energy (DOE) to develop a portable and cohesive scientific software ecosystem. Recommendations focus on supporting standardized environments through initiatives like the Extreme-scale Scientific Software Stack (E4S) and Spack to foster interdisciplinary innovation and facilitate new scientific advancements.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。