activity
20152018
most citedMathematical Foundations of the GraphBLAS

187 citations · 424 across the 15 of their papers we have counts for

collaborators

15 papers

cs.DB2018★ 5 cited

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.…

cs.DB2017★ 25 cited

Polystore Mathematics of Relational Algebra

Hayden Jananthan, Ziqi Zhou, Vijay Gadepally +3

Financial transactions, internet search, and data analysis are all placing increasing demands on databases. SQL, NoSQL, and NewSQL databases have been developed to meet these deman…

cs.DC2017★ 7 cited

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…

cs.DB2017★ 3 cited

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…

cs.DB2017★ 58 cited

LaraDB: A Minimalist Kernel for Linear and Relational Algebra Computation

Dylan Hutchison, Bill Howe, Dan Suciu

Analytics tasks manipulate structured data with variants of relational algebra (RA) and quantitative data with variants of linear algebra (LA). The two computational models have ov…

cs.DC2017

D4M 3.0

Lauren Milechin, Alexander Chen, Vijay Gadepally +3

The D4M tool is used by hundreds of researchers to perform complex analytics on unstructured data. Over the past few years, the D4M toolbox has evolved to support connectivity with…

cs.DB2016★ 4 cited

Benchmarking the Graphulo Processing Framework

Timothy Weale, Vijay Gadepally, Dylan Hutchison +1

Graph algorithms have wide applicablity to a variety of domains and are often used on massive datasets. Recent standardization efforts such as the GraphBLAS specify a set of key co…

cs.MS2016★ 13 cited

Julia Implementation of the Dynamic Distributed Dimensional Data Model

Alexander Chen, Alan Edelman, Jeremy Kepner +2

Julia is a new language for writing data analysis programs that are easy to implement and run at high performance. Similarly, the Dynamic Distributed Dimensional Data Model (D4M) a…

cs.MS2016★ 187 cited

Mathematical Foundations of the GraphBLAS

Jeremy Kepner, Peter Aaltonen, David Bader +13

The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix based graph algorithms to the broadest possible audience. Mathematically the Graph- BLAS…

cs.DB2016★ 26 cited

Associative Array Model of SQL, NoSQL, and NewSQL Databases

Jeremy Kepner, Vijay Gadepally, Dylan Hutchison +4

The success of SQL, NoSQL, and NewSQL databases is a reflection of their ability to provide significant functionality and performance benefits for specific domains, such as financi…

cs.DB2016★ 16 cited

From NoSQL Accumulo to NewSQL Graphulo: Design and Utility of Graph Algorithms inside a BigTable Database

Dylan Hutchison, Jeremy Kepner, Vijay Gadepally +1

Google BigTable's scale-out design for distributed key-value storage inspired a generation of NoSQL databases. Recently the NewSQL paradigm emerged in response to analytic workload…

cs.PL2016★ 1 cited

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…

cs.DB2016★ 4 cited

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…

cs.DB2015★ 37 cited

Graphulo Implementation of Server-Side Sparse Matrix Multiply in the Accumulo Database

Dylan Hutchison, Jeremy Kepner, Vijay Gadepally +1

The Apache Accumulo database excels at distributed storage and indexing and is ideally suited for storing graph data. Many big data analytics compute on graph data and persist thei…

cs.DS2015★ 38 cited

Graphulo: Linear Algebra Graph Kernels for NoSQL Databases

Vijay Gadepally, Jake Bolewski, Dan Hook +3

Big data and the Internet of Things era continue to challenge computational systems. Several technology solutions such as NoSQL databases have been developed to deal with this chal…