LMFAO: An Engine for Batches of Group-By Aggregates

Published 19 Aug 2020 in cs.DB | (2008.08657v1)

Abstract: LMFAO is an in-memory optimization and execution engine for large batches of group-by aggregates over joins. Such database workloads capture the data-intensive computation of a variety of data science applications. We demonstrate LMFAO for three popular models: ridge linear regression with batch gradient descent, decision trees with CART, and clustering with Rk-means.

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