Extra-P helps developers analyze the scaling behavior of parallel programs by learning performance models automatically from a small set of performance measurements. This project contains the main Extra-P repository as well as supporting components and tools.
We are the High-Performance Computing Lab at the Technical University of Darmstadt. You can find more of our projects on GitHub.
Extra-Deep: Empirical Performance Modeling for Distributed Deep Learning Applications
Python
Cost-Effective Empirical Performance Modeling with Extra-P using Gaussian Process Regression (GPR)
Python
Cost-Effective Empirical Performance Modeling with Extra-P using Gaussian Process Regression (GPR)
Extra-Deep: Empirical Performance Modeling for Distributed Deep Learning Applications
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