SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Micro"
DOI: 10.1109/mm.2019.2930497
Abstract: This article presents SSDStreamer, an SSD-based caching system for large-scale machine learning. By using DRAM as stream buffer, instead of an upper-level cache, SSDStreamer significantly outperforms state-of-the-art multilevel caching systems on Apache Spark, while requiring… read more here.
Keywords: large scale; machine learning; scale machine; ssdstreamer specializing ... See more keywords
MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning
Sign Up to like & getrecommendations! Published in 2019 at "Entropy"
DOI: 10.3390/e21060551
Abstract: Efficient approximation lies at the heart of large-scale machine learning problems. In this paper, we propose a novel, robust maximum entropy algorithm, which is capable of dealing with hundreds of moments and allows for computationally… read more here.
Keywords: large scale; machine learning; entropy; maximum entropy ... See more keywords