Assessing researcher interdisciplinarity: a case study of the University of Hawaii NASA Astrobiology Institute. - Michael G. Gowanlock; Rich Gazan (Scientometrics, 2013)

Distance threshold similarity searches on spatiotemporal trajectories using GPGPU. - Michael G. Gowanlock; Henri Casanova (HiPC, 2014)

Technical Report: Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU. - Michael G. Gowanlock; Henri Casanova (CoRR, 2014)

Technical Report: Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches. - Michael G. Gowanlock; Henri Casanova (CoRR, 2014)

Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU. - Michael G. Gowanlock; Henri Casanova (IPDPS, 2015)

Exploiting Variant-Based Parallelism for Data Mining of Space Weather Phenomena. - Michael G. Gowanlock; David M. Blair; Victor Pankratius (IPDPS, 2016)

Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support. - Victor Pankratius; Justin D. Li; Michael G. Gowanlock; David M. Blair; Cody Rude; Tom Herring; Frank D. Lind; Philip J. Erickson; Colin J. Lonsdale (IEEE Intell. Syst., 2016)

Distance Threshold Similarity Searches: Efficient Trajectory Indexing on the GPU. - Michael G. Gowanlock; Henri Casanova (IEEE Trans. Parallel Distributed Syst., 2016)

Clustering Throughput Optimization on the GPU. - Michael G. Gowanlock; Cody M. Rude; David M. Blair; Justin D. Li; Victor Pankratius (IPDPS, 2017)

Optimizing Parallel Clustering Throughput in Shared Memory. - Michael G. Gowanlock; David M. Blair; Victor Pankratius (IEEE Trans. Parallel Distributed Syst., 2017)

GPU Accelerated Self-Join for the Distance Similarity Metric. - Michael Gowanlock; Ben Karsin (IPDPS Workshops, 2018)

Sorting Large Datasets with Heterogeneous CPU/GPU Architectures. - Michael Gowanlock; Ben Karsin (IPDPS Workshops, 2018)

Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. - Michael Gowanlock (CoRR, 2018)

Parallel optimization of signal detection in active magnetospheric signal injection experiments. - Michael G. Gowanlock; Justin D. Li; Cody M. Rude; Victor Pankratius (Comput. Geosci., 2018)

KNN-Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. - Michael Gowanlock (GPGPU@ASPLOS, 2019)

GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data. - Michael Gowanlock; Ben Karsin (DaMoN, 2019)

Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives. - Michael Gowanlock; Ben Karsin; Zane Fink; Jordan Wright (DaMoN, 2019)

Hybrid CPU/GPU clustering in shared memory on the billion point scale. - Michael Gowanlock (ICS, 2019)

Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity Joins. - Benoît Gallet; Michael Gowanlock (IPDPS Workshops, 2019)

Accelerating the similarity self-join using the GPU. - Michael Gowanlock; Ben Karsin (J. Parallel Distributed Comput., 2019)

A hybrid CPU/GPU approach for optimizing sorting throughput. - Michael Gowanlock; Ben Karsin (Parallel Comput., 2019)

A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU. - Michael Gowanlock; Cody M. Rude; David M. Blair; Justin D. Li; Victor Pankratius (IEEE Trans. Parallel Distributed Syst., 2019)

HEGJoin: Heterogeneous CPU-GPU Epsilon Grids for Accelerated Distance Similarity Join. - Benoît Gallet; Michael Gowanlock (DASFAA (3), 2020)

A coordinate-oblivious index for high-dimensional distance similarity searches on the GPU. - Brian Donnelly; Michael Gowanlock (ICS, 2020)

Securing Additive Manufacturing with Blockchains and Distributed Physically Unclonable Functions. - Bertrand Cambou; Michael Gowanlock; Julie Heynssens; Saloni Jain; Christopher Robert Philabaum; Duane Booher; Ian Burke; Jack Garrard; Donald Telesca; Laurent Njilla (Cryptogr., 2020)

A Symmetric Cipher Response-Based Cryptography Engine Accelerated Using GPGPU. - Jordan Wright; Zane Fink; Michael Gowanlock; Christopher Robert Philabaum; Brian Donnelly; Bertrand Cambou (CNS, 2021)

CUDA-DClust+: Revisiting Early GPU-Accelerated DBSCAN Clustering Designs. - Madhav Poudel; Michael Gowanlock (HiPC, 2021)

Accelerating the Yinyang K-Means Algorithm Using the GPU. - Colin Taylor; Michael Gowanlock (ICDE, 2021)

Data-Intensive Computing Modules for Teaching Parallel and Distributed Computing. - Michael Gowanlock; Benoît Gallet (IPDPS Workshops, 2021)

SABER-GPU: A Response-Based Cryptography Algorithm for SABER on the GPU. - Kaitlyn Lee; Michael Gowanlock; Bertrand Cambou (PRDC, 2021)

A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures. - Michael Gowanlock; Zane Fink; Ben Karsin; Jordan Wright (SAC, 2021)

A Response-Based Cryptography Engine in Distributed-Memory. - Christopher Robert Philabaum; Christopher Coffey; Bertrand Cambou; Michael Gowanlock (SAI (3), 2021)

Fast period searches using the Lomb-Scargle algorithm on Graphics Processing Units for large datasets and real-time applications. - Michael G. Gowanlock; Daniel Kramer; David E. Trilling; N. R. Butler; Brian Donnelly (Astron. Comput., 2021)

Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies. - Benoît Gallet; Michael Gowanlock (Data Sci. Eng., 2021)

Hybrid KNN-join: Parallel nearest neighbor searches exploiting CPU and GPU architectural features. - Michael Gowanlock (J. Parallel Distributed Comput., 2021)

Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations. - Benoît Gallet; Michael Gowanlock (HIPC, 2022)

GPU-enabled searches for periodic signals of unknown shape. - Michael G. Gowanlock; N. R. Butler; David E. Trilling; A. McNeill (Astron. Comput., 2022)

Computing Double Precision Euclidean Distances using GPU Tensor Cores. - Benoît Gallet; Michael Gowanlock (CoRR, 2022)

Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches. - Michael Gowanlock; Benoît Gallet; Brian Donnelly (ICCS (2), 2023)

Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol. - Kaitlyn Lee; Brian Donnelly; Tomer Sery; Dan Ilan; Bertrand Cambou; Michael Gowanlock (ICPP Workshops, 2023)

Removing aliases in time-series photometry. - Daniel Kramer; Michael Gowanlock; David E. Trilling; A. McNeill; N. Erasmus (Astron. Comput., 2023)

Multi-Space Tree with Incremental Construction for GPU-Accelerated Range Queries. - Brian Donnelly; Michael Gowanlock (HiPC, 2024)

GDBOD: Density-Based Outlier Detection Exploiting Efficient Tree Traversals on the GPU. - Revanth Reddy Munugala; Michael Gowanlock (HiPC, 2024)

Teaching parallel and distributed computing using data-intensive computing modules. - Michael Gowanlock (J. Parallel Distributed Comput., 2025)