支持网格上自适应组合建模的新体系结构
Novel Runtime Systems Support for Adaptive Compositional Modeling on the Grid
摘要：
网格基础设施和计算环境在过去几年中取得了显著的进步。真正无缝网格使用的愿景依赖于运行时系统的支持，是认识到网格计算的基础上的操作问题，同时，是足够灵活，以适应不同的应用场景。本文讨论了网格基础设施和应用程序支持的两个方面，通过一个新的组合两种计算技术：编织-源语言独立的并行运行时组成框架，通过反向分析编译的目标文件，运行时推荐系统，帮助动态知识为基础的应用程序组合。特定于域的自适应性是通过一个新的组合系统，支持运行时推荐的代码模块和一个复杂的检查点和运行时迁移解决方案，可以透明地部署在网格基础设施。一组核心的“自适应模式”提供了大规模的科学计算的自适应组合的模板。实施问题，激励应用程序的背景下，和初步的结果进行了说明。
英文摘要：
Grid infrastructures and computing environments have progressed significantly in the past few years. The vision of truly seamless Grid usage relies on runtime systems support that is cognizant of the operational issues underlying grid computations and, at the same time, is flexible enough to accommodate diverse application scenarios. This paper addresses the twin aspects of Grid infrastructure and application support through a novel combination of two computational technologies: Weaves - a source-language independent parallel runtime compositional framework that operates through reverse-analysis of compiled object files, and runtime recommender systems that aid in dynamic knowledge-based application composition. Domain-specific adaptivity is exploited through a novel compositional system that supports runtime recommendation of code modules and a sophisticated checkpointing and runtime migration solution that can be transparently deployed over Grid infrastructures. A core set of "adaptivity schemas" are provided as templates for adaptive composition of large-scale scientific computations. Implementation issues, motivating application contexts, and preliminary results are described.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
