SI2-SSE: Petascale Enzo: Software Infrastructure Development and Community Engagement

SI2-SSE：Petascale Enzo：软件基础设施开发和社区参与

• 批准号: 1440709
• 负责人: Michael Norman
• 金额: $ 50万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440709&HistoricalAwards=false
• 关键词: SI2; SSE; Petascale; Enzo; Software

The purpose of this project is to develop an astrophysics and cosmology software application "Enzo-P", built on the highly scalable parallel adaptive mesh refinement (AMR) software framework "Cello" that is being developed concurrently. The Enzo-P application will be capable of running extreme scale numerical simulations to investigate frontier questions in star formation, molecular cloud turbulence, interstellar medium dynamics, galaxy formation, intergalctic medium, formation of the first stars and galaxies, galaxy clusters, and cosmic reionization. This new software will empower the current large and diverse Enzo user/developer community to take full advantage of current and future high performance computer (HPC) systems. The Cello AMR framework can be used independently of Enzo-P, thus enabling researchers in other diverse scientific fields to develop AMR applications capable of running on "Petascale-and-beyond" HPC platforms. The novel approach used for Cello is to implement a "forest-of-octree" AMR scheme using the Charm++ parallel programming system. Octree-based AMR has been shown to be among the highest scaling AMR approaches, with demonstrated scaling to over 200K CPU cores. The Charm++ object-oriented parallel programming language supports data-driven asynchronous execution, is inherently latency-tolerant and automatically overlaps computation with communication, and provides support for developing Exascale applications, including in-memory distributed checkpointing and sophisticated dynamic load balancing schemes. Enzo-P development will be directed by the vibrant Enzo open development community, who will migrate Enzo's self-gravity, cosmology, chemistry and cooling, MHD, and radiation hydrodynamics capabilities to use the Cello scalable AMR framework.

该项目的目的是开发一个天体物理学和宇宙学软件应用程序“ enzo-p”，该应用程序建立在高度可扩展的平行自适应网格改进（AMR）软件框架“大提琴”上，该框架正在同时开发。 ENZO-P应用将能够运行极端的数值模拟，以研究恒星形成，分子云湍流，星际介质动力学，银河系形成，缘质介质，第一颗星和星系，星系群，星系簇以及宇宙化的形成。 该新软件将使当前的大型和多样化的ENZO用户/开发人员社区能够充分利用当前和未来的高性能计算机（HPC）系统。大提琴AMR框架可以独立于ENZO-P上使用，从而使其他不同科学领域的研究人员能够开发能够在“ Petascale-and-Beyond” HPC平台上运行的AMR应用程序。大提琴使用的新型方法是使用Charm ++并行编程系统实施“尾森林” AMR方案。 基于OCTREE的AMR已被证明是最高缩放AMR方法之一，其缩放比例为200k CPU核心。 魅力++面向对象的并行编程语言支持数据驱动的异步执行，固有地是耐等待的，并且自动将计算与通信重叠，并为开发Exascale应用程序（包括内存内分布式检查点和复杂的动态负载平衡方案）提供支持。 Enzo-P的开发将由充满活力的Enzo开放开发社区指导，他将迁移Enzo的自我严重性，宇宙学，化学和冷却，MHD以及辐射流体动力学能力来使用大提琴可伸缩AMR框架。