Abstract
Recent studies have demonstrated that significant I/O operations are performed by a number of different classes of parallel applications. Appropriate I/O management strategies are required however for harnessing the power of parallel I/O. This paper focuses on two I/O management issues that affect system performance in multiprogrammed parallel environments. Characterization of the I/O behavior of parallel applications in terms of four different models is discussed first, followed by an investigation of the performance of a number of different data distribution strategies. Using computer simulations, this research shows I/O characteristics of applications and data distribution have an important effect on system performance. Applications which can simultaneously do computation and I/O, plus strategies that can incorporate centralized I/O management are found to be beneficial for a multiprogrammed parallel environment.KeywordsRead RequestDistribute Memory SystemAffect System PerformanceData Distribution StrategyChild ThreadThese 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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