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most citedA Deep Dive into Machine Learning Density Functional Theory for Materials Science and Chemistry

115 citations · 685 across the 39 of their papers we have counts for

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Showing 2017 · cs.DCShow all

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cs.DC2017★ 34 cited

Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library

Alexander Matthes, René Widera, Erik Zenker +3

We present an analysis on optimizing performance of a single C++11 source code using the Alpaka hardware abstraction library. For this we use the general matrix multiplication (GEM…