Collaborative Research: Software Institute for Abstractions and Methodologies for HPC Simulation Codes on Future Architectures

合作研究：未来架构 HPC 模拟代码抽象和方法学软件研究所

• 批准号: 1228667
• 负责人: Brian O'Shea
• 金额: $ 0.92万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1228667&HistoricalAwards=false
• 关键词: Collaborative; Research; Software; Institute; Abstractions

Large, complex, multi-scale, multi-physics simulation codes, running on high performance computing (HPC) platforms, are essential to advancing science and engineering research in disciplines such as lattice field theory, astrophysics and cosmology, computational fluid dynamics/fluid structure interaction,and high energy density physics. Progress in computational science together with the adoption of high-level frameworks and modular development have produced widely used community simulation software specific to individual communities. These state-of-the-art codes have been under development and optimization for several years and currently simulate multi-scale, multi-physics phenomena with unprecedented fidelity on petascale platforms. Currently each of these codes have solvers with varied performance characteristics, but all face challenges because of changing hardware architecture. Efforts underway to cope with these challenges, are largely fragmented. While it is true that the scientific codes used in various domains differ significantly from one another, many solutions are likely to be conceptually similar, even if they differ in details. The goal of the proposed conceptualization project, Software Institute for Methodologies and Abstractions for Codes (SIMAC) is to find common abstractions and frameworks applicable across a broad range of applications through cooperation, coordination and interdisciplinary interactions among the participants. The core group of participating codes includes FLASH (astrophysics, cosmology, CFD, HEDP), Cactus (CFD, numerical relativity, and quantum relativity), the code suite used by the Lattice QCD community, and Enzo (cosmology). The proposed collaborative research will produce benefit beyond the four simulation codes and collaborating institutions by exploring: a common software infrastructure applicable to a broad range of science and engineering application domains; an engagement model between computer science research and application development; a multidisciplinary immersion program for research, education and training of students, postdoctoral fellows and visitors on future platform architectures.

在高性能计算（HPC）平台上运行的大型，复杂，多尺度的多物理模拟代码对于在诸如晶格场理论，天体物理学和宇宙学，计算流体动力学/流体结构互动等学科中的科学和工程研究中至关重要。计算科学的进步以及采用高级框架和模块化开发的进步已经产生了针对各个社区的广泛使用的社区模拟软件。这些最先进的代码已经在开发和优化了几年，目前在Petascale平台上模拟了具有前所未有的忠诚度的多尺度多物理现象。当前，这些代码中的每个代码都具有各种性能特征的求解器，但是由于硬件架构的变化，所有这些代码都面临着挑战。应对这些挑战的努力在很大程度上是分散的。虽然确实，各个领域中使用的科学代码彼此之间有很大差异，但许多解决方案在概念上也可能相似，即使它们的细节有所不同。拟议的概念化项目，代码方法和摘要软件研究所（SIMAC）的目标是通过合作，协调和跨学科的互动找到适用于广泛应用程序的共同抽象和框架。参与代码的核心组包括闪存（天体物理学，宇宙学，CFD，HEDP），仙人掌（CFD，数值相对性和量子相对性），Lattice QCD社区使用的代码套件和Enzo（Cosmomology）。拟议的合作研究将通过探索四个仿真代码和协作机构的收益：一种适用于广泛的科学和工程应用程序领域的常见软件基础架构；计算机科学研究与应用程序开发之间的参与模型；一项多学科沉浸式计划，用于研究，教育和培训的学生，博士后研究员和未来平台体系结构的访客。