On a fast deterministic parallel approximate matching algorithm. - David J. Haglin (SPDP, 1991)

Approximation and Intractability Results for the Maximum Cut Problem and its Variants. - David J. Haglin; Shankar M. Venkatesan (IEEE Trans. Computers, 1991)

Approximating Maximum 2-CNF Satisfiability. - David J. Haglin (Parallel Process. Lett., 1992)

Approximating Matchings in Parallel. - Ted Fischer; Andrew V. Goldberg; David J. Haglin; Serge A. Plotkin (Inf. Process. Lett., 1993)

A Massively Parallel Transportation Solution. - David J. Haglin; John A. Kaliski (PDPTA, 1995)

Bipartite Expander Matching is in NC. - David J. Haglin (Parallel Process. Lett., 1995)

On Convex Subsets in Tournaments. - David J. Haglin; Marty J. Wolf (SIAM J. Discret. Math., 1996)

An Optimal Algorithm for Finding All Convex Subsets in Tournaments. - Marty J. Wolf; David J. Haglin (Ars Comb., 1999)

Technical Report Column. - David J. Haglin (SIGACT News, 2000)

The Message-Minimizing Load Redistribution Problem. - David J. Haglin; Rupert W. Ford (J. Univers. Comput. Sci., 2001)

A New Algorithm for Finding Minimal Sample Uniques for Use in Statistical Disclosure Assessment. - Anna M. Manning; David J. Haglin (ICDM, 2005)

A tool for public analysis of scientific data. - David J. Haglin; Richard J. Roiger; Jon Hakkila; Timothy W. Giblin (Data Sci. J., 2005)

On Minimal Infrequent Itemset Mining. - David J. Haglin; Anna M. Manning (DMIN, 2007)

Towards Average Case Analysis of Itemset Mining. - Dan Singer; David J. Haglin; Anna M. Manning (DMIN, 2007)

Variable-grain and dynamic work generation for Minimal Unique Itemset mining. - Paraskevas Yiapanis; David J. Haglin; Anna M. Manning; Ken Mayes; John A. Keane (CLUSTER, 2008)

A recursive search algorithm for statistical disclosure assessment. - Anna M. Manning; David J. Haglin; John A. Keane (Data Min. Knowl. Discov., 2008)

Factors affecting the performance of parallel mining of minimal unique itemsets on diverse architectures. - David J. Haglin; Kenneth R. Mayes; Anna M. Manning; John Feo; John R. Gurd; Mark J. Elliot; John A. Keane (Concurr. Comput. Pract. Exp., 2009)

Hashing strategies for the Cray XMT. - Eric L. Goodman; David J. Haglin; Chad Scherrer; Daniel G. Chavarría-Miranda; Jace Mogill; John Feo (IPDPS Workshops, 2010)

High-Performance Computing Applied to Semantic Databases. - Eric L. Goodman; Edward Jimenez; David Mizell; Sinan Al-Saffar; Bob Adolf; David J. Haglin (ESWC (2), 2011)

Toward Parallel Document Clustering. - Jace Mogill; David J. Haglin (IPDPS Workshops, 2011)

Techniques for Improving Filters in Power Grid Contingency Analysis. - Robert Adolf; David Haglin; Mahantesh Halappanavar; Yousu Chen; Zhenyu Huang 001 (MLDM, 2011)

Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems. - Chad Scherrer; Mahantesh Halappanavar; Ambuj Tewari; David Haglin (ICML, 2012)

Feature Clustering for Accelerating Parallel Coordinate Descent. - Chad Scherrer; Ambuj Tewari; Mahantesh Halappanavar; David Haglin (NIPS, 2012)

DisClose: Discovering Colossal Closed Itemsets via a Memory Efficient Compact Row-Tree. - Nurul Fariza Zulkurnain; David J. Haglin; John A. Keane (PAKDD Workshops, 2012)

Towards Efficient N-x Contingency Selection Using Group betweenness Centrality. - Mahantesh Halappanavar; Yousu Chen; Robert Adolf; David Haglin; Zhenyu Huang 001; Mark Rice 002 (SC Companion, 2012)

Accelerating semantic graph databases on commodity clusters. - Alessandro Morari; Vito Giovanni Castellana; David Haglin; John Feo; Jesse Weaver; Antonino Tumeo; Oreste Villa (IEEE BigData, 2013)

Scalable, Multithreaded, Partially-in-Place Sorting. - David J. Haglin; Robert Adolf; Greg E. Mackey (IPDPS Workshops, 2013)

Combining Structure and Property Values is Essential for Graph-Based Learning. - David J. Haglin; Lawrence B. Holder (IPDPS Workshops, 2013)

Toward a data scalable solution for facilitating discovery of scientific data resources. - Alan R. Chappell; Sutanay Choudhury; John Feo; David J. Haglin; Alessandro Morari; Sumit Purohit; Karen Schuchardt; Antonino Tumeo; Jesse Weaver; Oreste Villa (DISCS@SC, 2013)

Massive scale cyber traffic analysis: a driver for graph database research. - Cliff A. Joslyn; Sutanay Choudhury; David Haglin; Bill Howe; Bill Nickless; Bryan Olsen (GRADES, 2013)

Composing Data Parallel Code for a SPARQL Graph Engine. - Vito Giovanni Castellana; Antonino Tumeo; Oreste Villa; David Haglin; John Feo (SocialCom, 2013)

Optimizing graph queries with graph joins and Sprinkle SPARQL. - Eric L. Goodman; Edward Jimenez; Cliff A. Joslyn; David J. Haglin; Sinan Al-Saffar; Dirk Grunwald (IEEE BigData, 2014)

Scaling Semantic Graph Databases in Size and Performance. - Alessandro Morari; Vito Giovanni Castellana; Oreste Villa; Antonino Tumeo; Jesse Weaver; David Haglin; Sutanay Choudhury; John Feo (IEEE Micro, 2014)

Toward a data scalable solution for facilitating discovery of science resources. - Jesse Weaver; Vito Giovanni Castellana; Alessandro Morari; Antonino Tumeo; Sumit Purohit; Alan R. Chappell; David Haglin; Oreste Villa; Sutanay Choudhury; Karen Schuchardt; John Feo (Parallel Comput., 2014)

GEMS: Graph Database Engine for Multithreaded Systems. - Alessandro Morari; Vito Giovanni Castellana; Oreste Villa; Jesse Weaver; Gregory Todd Williams; David J. Haglin; Antonino Tumeo; John Feo (Big Data - Algorithms, Analytics, and Applications, 2015)

High-Performance, Distributed Dictionary Encoding of RDF Datasets. - Alessandro Morari; Jesse Weaver; Oreste Villa; David J. Haglin; Antonino Tumeo; Vito Giovanni Castellana; John Feo (CLUSTER, 2015)

A visual analytics paradigm enabling trillion-edge graph exploration. - Pak Chung Wong; David J. Haglin; David Gillen; Daniel G. Chavarría-Miranda; Vito Giovanni Castellana; Cliff A. Joslyn; Alan R. Chappell; Song Zhang 004 (LDAV, 2015)

In-Memory Graph Databases for Web-Scale Data. - Vito Giovanni Castellana; Alessandro Morari; Jesse Weaver; Antonino Tumeo; David Haglin; Oreste Villa; John Feo (Computer, 2015)

Exploring Data Vortex Network Architectures. - Roberto Gioiosa; Thomas Warfel; Jian Yin 002; Antonino Tumeo; David J. Haglin (Hot Interconnects, 2016)

GraQL: A Query Language for High-Performance Attributed Graph Databases. - Daniel G. Chavarría-Miranda; Vito Giovanni Castellana; Alessandro Morari; David Haglin; John Feo (IPDPS Workshops, 2016)

High-Performance Data Analytics Beyond the Relational and Graph Data Models with GEMS. - Vito Giovanni Castellana; Marco Minutoli; Shreyansh Bhatt; Khushbu Agarwal; Arthur Bleeker; John Feo; Daniel G. Chavarría-Miranda; David J. Haglin (IPDPS Workshops, 2017)

Exploring DataVortex Systems for Irregular Applications. - Roberto Gioiosa; Antonino Tumeo; Jian Yin 002; Thomas Warfel; David J. Haglin; Santiago Betelú (IPDPS, 2017)

Big graph visual analytics. - David Haglin; David Trimm; Pak Chung Wong (Inf. Vis., 2017)