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On Linear Learning with Manycore Processors
A new generation of manycore processors is on the rise that offers dozen...
05/02/2019 ∙ by Eliza Wszola, et al. ∙
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Parallel training of linear models without compromising convergence
In this paper we analyze, evaluate, and improve the performance of train...
11/05/2018 ∙ by Nikolas Ioannou, et al. ∙
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A Distributed Second-Order Algorithm You Can Trust
Due to the rapid growth of data and computational resources, distributed...
06/20/2018 ∙ by Celestine Dünner, et al. ∙
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Snap Machine Learning
We describe an efficient, scalable machine learning library that enables...
03/16/2018 ∙ by Celestine Dünner, et al. ∙
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Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration
The amount of unstructured text-based data is growing every day. Queryin...
11/20/2017 ∙ by Kubilay Atasu, et al. ∙
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Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
We propose a generic algorithmic building block to accelerate training o...
08/17/2017 ∙ by Celestine Dünner, et al. ∙
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