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PARA
2000
Springer

Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments

10 years 4 months ago
Runtime Adaptation of an Iterative Linear System Solution to Distributed Environments
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.
Masha Sosonkina
Added 25 Aug 2010
Updated 25 Aug 2010
Type Conference
Year 2000
Where PARA
Authors Masha Sosonkina
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