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Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments

  • Masha Sosonkina
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1947)

Abstract

Distributed cluster environments are becoming popular platforms for high performance computing in lieu of single-vendor supercomputers. However, the reliability and sustainable performance of a cluster are difficult to ensure since the amount of available distributed resources may vary during the application execution. To increase robustness, an application needs to have self-adaptive features that are invoked at the runtime. For a class of computationally-intensive distributed scientific applications, iterative linear system solutions, we show a benefit of the adaptations that change the amount of local computations based on the runtime performance information. A few strategies for efficient exchange of such information are discussed and tested on two cluster architectures.

Keywords

Local Equation Sparse Linear System Processor Number Runtime Adaptation Power3 Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Masha Sosonkina
    • 1
  1. 1.Department of Computer ScienceUniversity of MinnesotaDuluth

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