Difference between revisions of "Eosc/easybuild/benchmark"
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| + | We use [https://source.coderefinery.org/nlpl/easybuild/-/blob/ak-dev/tests/numpy/numpy_test.py this Python script] which tests matrix multiplications and singular value decomposition (SVD). | ||
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| + | == OpenBLAS on Saga == | ||
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| + | == IMKL on Saga == | ||
= TensorFlow = | = TensorFlow = | ||
Revision as of 23:22, 22 November 2020
Background
In the context of the EOSC-Nordic EasyBuild pilot, the following page provides instructions for how to benchmark different software configurations on typical problems that are likely to affect NLPL users. Relevant variation will typically contrast pre-compiled binary installations (e.g. `pip` wheels) vs. locally compiled modules, where architecture-specific optimizations are enabled and optimized libraries (e.g. Intel MKL) are used.
NumPy
We use this Python script which tests matrix multiplications and singular value decomposition (SVD).
