Collaborative Research: Conceptualizing an Institute for Using Inter-Domain Abstractions to Support Inter-Disciplinary Applications
Collaborative Research: Conceptualizing an Institute for Using Inter-Domain Abstractions to Support Inter-Disciplinary Applications
批准号:
1216701
负责人:
Keshav Pingali
金额:
$14.5万
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
项目状态:
已结题
起止时间:
2012-10-01 至 2014-09-30
中文摘要
这笔赠款是一笔规划赠款,用于资助建立一个软件基础设施研究所,以促进持续创新。它为技术和组织方面的规划提供资金。为了了解社区需求,它涉及研讨会和外展活动来收集社区需求。为了充分理解复杂物理现象(如燃烧的建筑物)的行为,通常需要了解大尺度效应(如每层楼的热量积累)和小尺度效应(如地基中的钢梁如何随着温度的升高而变形)。研究这种效应的计算机模拟被称为“多尺度”模拟,并且非常难以编写。这是因为表示不同尺度的计算模型差异很大,并且用于模拟每个尺度的软件组件通常不兼容。组合这些完全不同的组件需要程序员付出艰苦且容易出错的劳动。该项目将构想一个专门为研究多尺度问题的科学家提供解决方案的研究所。 该项目围绕着接触计算科学家和计算机系统研究人员,以确定什么样的编程抽象可能对不同的计算模型有用,以及如何最好地适应现有的抽象多尺度仿真的挑战。目标是建立一个研究所,研究如何使用各种编程抽象来弥合不同软件组件之间的差距,从而减轻编写多尺度模拟的痛苦。最终的效果将是允许多尺度系统被准确和有效地模拟,为复杂物理系统的行为提供更深入的见解。
英文摘要
This grant is a planning grant to fund the conceptualization of an institute for software infrastructure for sustained innovation. It funds the planning of the technical and organizational aspects. To understand community requirements, it involves workshops and outreach to gather community requirements. To fully understand the behavior of a complex physical phenomenon such as a burning building, it is often necessary to understand both large-scale effects such as the buildup of heat on each floor, and small-scale effects, such as how a steal beam in the foundation deforms as it gets hotter. Computational simulations that study such effects in tandem are called "multi-scale" simulations, and are exceedingly difficult to write. This is because the computational models that represent the different scales differ widely, and the software components used to simulate each scale are often incompatible. Combining these disparate components requires painstaking and error prone programmer labor. This project will conceptualize an institute devoted to providing solutions to scientists investigating multi-scale problems. The project centers around reaching out to computational scientists and computer systems researchers to determine both what kinds of programming abstractions may be useful for different computational models and how to best adapt existing abstractions to the challenges of multi-scale simulation. The goal is to enable the establishment of an institute that will study the use of various programming abstractions to bridge the gap between differing software components, hence easing the pain of writing multi-scale simulations. The ultimate effect will be to allow multi-scale systems to be simulated accurately and efficiently, providing deeper insights into the behavior of complex physical systems.
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