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05/23/2022
An Elastic Ephemeral Datastore using Cheap, Transient Cloud Resources
Spot instances are virtual machines offered at 60-90 reclaimed at any ti...
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11/16/2020
Towards a General Framework for ML-based Self-tuning Databases
Machine learning (ML) methods have recently emerged as an effective way ...
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06/17/2020
MixBoost: A Heterogeneous Boosting Machine
Modern gradient boosting software frameworks, such as XGBoost and LightG...
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06/08/2020
Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs
Solid-state drives (SSDs) are extensively used to deploy persistent data...
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03/05/2020
Compiling Neural Networks for a Computational Memory Accelerator
Computational memory (CM) is a promising approach for accelerating infer...
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02/25/2020
Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF
With rapid improvements in NVM storage devices, the performance bottlene...
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11/18/2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
In this paper we propose a novel parallel stochastic coordinate descent ...
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10/15/2019
Breadth-first, Depth-next Training of Random Forests
In this paper we analyze, evaluate, and improve the performance of train...
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11/05/2018
Parallel training of linear models without compromising convergence
In this paper we analyze, evaluate, and improve the performance of train...
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03/16/2018
Snap Machine Learning
We describe an efficient, scalable machine learning library that enables...
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01/17/2018