Introducing a novel partial execution approach to enhance scalability analysis in parallel applications, indicating efficiency gains.
Scalability analysis is crucial for developers to gauge how their applications perform under varying resource and workload conditions. However, analyzing complex applications can be time-consuming. This study proposes a partial execution approach in the Parallel Scalability Analyzer tool, leveraging the Paramount Iteration technique. This approach holds significant potential for reducing scalability analysis time.
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Maia et al. (2025) studied this question.
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