Titlebook: Euro-Par 2017: Parallel Processing; 23rd International C Francisco F. Rivera,Tomás F. Pena,José C. Cabaleir Conference proceedings 2017 Spr

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Rct393

Following the Blind Seer – Creating Better Performance Models Using Less Informationer a model reflects faithfully enough the behavior the data exhibits. This makes Extra-P easier to use, while also allowing it to produce more accurate results. Using data from previous case studies, we show that the mean relative prediction error decreases from 46% to 13%.

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Using Simulation to Evaluate and Tune the Performance of Dynamic Load Balancing of an Over-Decomposecteristics. In this paper, we propose a methodology that leverages the capabilities of the SimGrid framework to conduct such study at low experimental cost. It combines emulation, simulation, and application modeling that requires minimal code modification and yet manages to capture both spatial and

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Optimizing Egalitarian Performance in the Side-Effects Model of Colocation for Data Center Resource n algorithm, and a series of heuristics. We simulate the algorithms on instances derived from a trace of one of Google clusters. Algorithms aware of jobs’ types lead to better performance compared to algorithms solving ...The notion of type enables us to model degeneration of performance caused by c

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Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scalesffline analysis. Instead, applications must analyze and reduce data online so as to output only those results needed to answer target scientific question(s). This change in focus complicates application and experiment design and introduces algorithmic, implementation, and programming model challenge