Parallel MO-PBIL: Computing pareto optimal frontiers efficiently with applications in reinsurance analytics. - Leah Brown; Anirudha Ashok Beria; Omar Andrés Carmona Cortes; Andrew Rau-Chaplin; Duane Wilson; Neil Burke; Jürgen Gaiser-Porter (HPCS, 2014)

VOLAP: A Scalable Distributed System for Real-Time OLAP with High Velocity Data. - Frank Dehne; David E. Robillard; Andrew Rau-Chaplin; Neil Burke (CLUSTER, 2016)

The Hilbert PDC-tree: A High-Velocity Structure for Many-Dimensional Data. - David E. Robillard; Frank Dehne; Andrew Rau-Chaplin; Neil Burke (IDEAS, 2016)

Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures. - Neil Burke; Andrew Rau-Chaplin; Blesson Varghese (Concurr. Comput. Pract. Exp., 2016)

Quantifying Eventual Consistency For Aggregate Queries. - Neil Burke; Frank Dehne; Andrew Rau-Chaplin; David E. Robillard (IDEAS, 2017)

VOLAP: A Scalable Distributed Real-Time OLAP System for High-Velocity Data. - Frank Dehne; David E. Robillard; Andrew Rau-Chaplin; Neil Burke (IEEE Trans. Parallel Distributed Syst., 2018)

Efficient location-level risk analytics. - Neil Burke; Oliver Baltzer; Norbert Zeh (CASCON, 2020)