Exploring the Role of Grid-Enabled OpenMP in Adaptive Mesh Calculations

探索支持网格的 OpenMP 在自适应网格计算中的作用

• 批准号: 9982160
• 负责人: Willy Zwaenepoel
• 金额: $ 37.04万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-03-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9982160&HistoricalAwards=false
• 关键词: Exploring; Role; Grid; Enabled; OpenMP

Advances in computer and network technologies will soon make it possible to harness the collective computing power of distributed supercomputer systems as a Computational Power Grid (or Grid for short). Grid computing will entail coping with unusually high latencies and low bandwidths. To use such a Grid effectively as a platform for scientific computing will require new algorithms and programming methodologies along with compiler and run-time support to simplify the program development process.The scope of this problem is so broad that we believe that effective technologies can best be developed through focusing on concrete application domains. This proposal will perform an exploratory study to explore the development of compiler and runtime technology as well as algorithmic techniques for supporting largescale, parallel, structured adaptive mesh refinement (AMR) calculations in Computational Fluid Dynamics (CID) on the Grid. The project will be an interdisciplinary study consisting of applications scientists from NCSA and computer scientists from Rice and University of Houston.This proposal, therefore, will carry out a study to see whether such highly complex AMR applications can be efficiently run on the Grid. The course of this work will be exploring several different algorithmic strategies for supporting AMR on Grids. This will also entail developing innovative compiler technology and language extensions to the OpenMP standard that allow it to provide Grid-based support for such AMR applications. Lastly, resources (nodes, network connections) in the Grid computational environment are often contended. Therefore a Grid-enabled application has to be able to speculatively adapt to changing Grid resources. The proposal will build up tools that monitor the application's performance on the Grid as well as the available Grid resources. Information from these tools will be made available to the AMR application through standard interfaces in our OpenMP API so that the AMR application can speculatively adapt to changing Grid resources.

计算机和网络技术的进步将很快使利用分布式超级计算机系统的集体计算能力作为计算电网（或简称电网）成为可能。网格计算将需要处理异常高的延迟和低的带宽。为了有效地使用这样的网格作为科学计算的平台，将需要新的算法和编程方法沿着的编译器和运行时的支持，以简化程序开发过程。这个问题的范围是如此广泛，我们相信，有效的技术可以通过专注于具体的应用领域，最好的开发。该提案将进行探索性研究，以探索编译器和运行时技术的发展，以及支持网格上计算流体动力学（CID）中大规模、并行、结构化自适应网格细化（AMR）计算的算法技术。该项目将是一个跨学科的研究，由NCSA的应用科学家和莱斯大学和休斯顿大学的计算机科学家组成。因此，该提案将进行一项研究，看看这种高度复杂的AMR应用程序是否可以有效地在网格上运行。这项工作的过程中将探索几种不同的算法策略，以支持AMR的网格。这还需要开发创新的编译器技术和对OpenMP标准的语言扩展，使其能够为此类AMR应用程序提供基于网格的支持。最后，网格计算环境中的资源（节点、网络连接）经常被争用。因此，支持网格的应用程序必须能够推测性地适应不断变化的网格资源。该提案将建立一些工具来监控应用程序在网格上的性能以及可用的网格资源。这些工具中的信息将通过我们的OpenMP API中的标准接口提供给AMR应用程序，以便AMR应用程序可以推测性地适应不断变化的网格资源。