M3: Scaling Up Machine Learning via Memory Mapping

Summary: Demonstrates memory-mapped, out-of-core ML with M3 for single-machine scaling of logistic regression and k-means on datasets up to ~190GB. M3 delivers speeds faster than a 4-node Spark cluster and comparable to an 8-node cluster, enabling data-bound ML on one machine. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5220
Venue: SIGMOD
Year: 2016
Pagerank: -
Overall Rank: 13,343 | 7.18%
DOI: 10.1145/2882903.2914830

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Authors

1. Dezhi Fang
2. Duen Horng Chau

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