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Towards a Middleware Framework for Dynamically Reconfigurable Scientific Computing

机译：朝向动态可重新配置科学计算的中间件框架

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摘要

Computational grids are appealing platforms for the execution of large scale applications among the scientific and engineering communities. However, designing new applications and deploying existing ones with the capability of exploiting this potential still remains a challenge. Computational grids are characterized by their dynamic, non-dedicated, and heterogeneous nature. Novel application-level and middleware-level techniques are needed to allow applications to reconfigure themselves and adapt automatically to their underlying execution environments. In this paper, we introduce a new software framework that enhances the performance of Message Passing Interface (MPI) applications through an adaptive middleware for load balancing that includes process checkpointing and migration. Fields as diverse as fluid dynamics, materials science, biomechanics. and ecology make use of parallel adaptive computation. Target architectures have traditionally been supercomputers and tightly coupled clusters. This framework is a first step in allowing these computations to use computational grids efficiently.
机译：计算网格是在科学和工程社区中执行大规模应用的吸引人平台。然而，设计新的应用程序并将现有的应用程序部署，具有利用这种潜力的能力仍然是一个挑战。计算网格的特征在于它们的动态，非专用和异质性。需要新颖的应用程序级和中间件级技术来允许应用程序重新配置自己并自动调整到其底层的执行环境。在本文中，我们介绍了一种新的软件框架，它通过用于负载平衡的自适应中间件来增强消息传递接口（MPI）应用程序的性能，包括过程检查点和迁移。字段与流体动力学，材料科学，生物力学一样多样化。和生态利用并行自适应计算。目标架构传统上是超级计算机和紧密耦合的簇。此框架是允许这些计算有效使用计算网格的第一步。

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