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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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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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Elevating commodity storage with the SALSA host translation layer
To satisfy increasing storage demands in both capacity and performance, ...
01/17/2018 ∙ by Nikolas Ioannou, et al. ∙
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Breadth-first, Depth-next Training of Random Forests
In this paper we analyze, evaluate, and improve the performance of train...
10/15/2019 ∙ by Andreea Anghel, et al. ∙
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SySCD: A System-Aware Parallel Coordinate Descent Algorithm
In this paper we propose a novel parallel stochastic coordinate descent ...
11/18/2019 ∙ by Nikolas Ioannou, et al. ∙
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Compiling Neural Networks for a Computational Memory Accelerator
Computational memory (CM) is a promising approach for accelerating infer...
03/05/2020 ∙ by Kornilios Kourtis, et al. ∙
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Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
With rapid improvements in NVM storage devices, the performance bottlene...
02/25/2020 ∙ by Kornilios Kourtis, et al. ∙
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