7 citations · 15 across the 3 of their papers we have counts for
5 papers
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
Matthias Boehm, Berthold Reinwald, Dylan Hutchison +2
Many large-scale machine learning (ML) systems allow specifying custom ML algorithms by means of linear algebra programs, and then automatically generate efficient execution plans.…
Distributed Triangle Counting in the Graphulo Matrix Math Library
Dylan Hutchison
Triangle counting is a key algorithm for large graph analysis. The Graphulo library provides a framework for implementing graph algorithms on the Apache Accumulo distributed databa…
D4M 3.0: Extended Database and Language Capabilities
Lauren Milechin, Vijay Gadepally, Siddharth Samsi +3
The D4M tool was developed to address many of today's data needs. This tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few…
ModelWizard: Toward Interactive Model Construction
Dylan Hutchison
Data scientists engage in model construction to discover machine learning models that well explain a dataset, in terms of predictiveness, understandability and generalization acros…
Lara: A Key-Value Algebra underlying Arrays and Relations
Dylan Hutchison, Bill Howe, Dan Suciu
Data processing systems roughly group into families such as relational, array, graph, and key-value. Many data processing tasks exceed the capabilities of any one family, require d…