Abstract
Most performance tools that run on Massively Parallel (MP) systems do not scale up as the number of nodes increases. We studied the scalability problem of MP system performance tools and proposed a solution, replacing the two-level data collection structure by hierarchal one. To demonstrate that hierarchical data collection structure solves the scalability problem, we synthesized an implementation model to implement the performance data collection in MP systems. This paper presents our synthetic implementation results. © Springer-Verlag 2004.
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CITATION STYLE
Jong, C. J., & Maccabe, A. B. (2004). Synthetic implementations of performance data collection in massively parallel systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3033, 1–9. https://doi.org/10.1007/978-3-540-24680-0_1
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