Polish website#19
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martinjaggi merged 7 commits intomasterfrom Sep 22, 2020
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September 15, 2020 15:44
martinjaggi
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Sep 19, 2020
| <img src="{{ site.baseurl }}public/images/backends_comparison_by_workers_CUDA.png" alt="Backend performance comparison (GPU tensors)" style="max-width:100%;"/> | ||
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| ##### Key differences |
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| Distributed learning requires workers to collaborate by sharing learned information with their "colleagues". As MLBench |
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by swiftly sharing. With the accelerating growth of model sizes in modern deep learning, this aspect gains even more importance.
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| Distributed learning requires workers to collaborate by sharing learned information with their "colleagues". As MLBench | ||
| supports both one and multiple processes per node, in addition to multi-node training, communication between workers is crucial | ||
| and will heavily affect performance, notably for compute bound training algorithms. |
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skip As in beginning, and remove notably for compute bound..., as it's more crucial for communication bound
martinjaggi
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Sep 22, 2020
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