Michael G. Gowanlock

According to our database, Michael G. Gowanlock authored at least 41 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Removing aliases in time-series photometry.

Daniel Kramer, Michael Gowanlock, D. E. Trilling, A. McNeill, N. Erasmus

Astron. Comput., July, 2023

Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol.

Kaitlyn Lee, Brian Donnelly, Tomer Sery, Dan Ilan, Bertrand Cambou, Michael Gowanlock

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches.

Michael Gowanlock, Benoît Gallet, Brian Donnelly

Proceedings of the Computational Science - ICCS 2023, 2023

2022

Computing Double Precision Euclidean Distances using GPU Tensor Cores.

Benoît Gallet, Michael Gowanlock

CoRR, 2022

GPU-enabled searches for periodic signals of unknown shape.

Michael G. Gowanlock, N. R. Butler, D. E. Trilling, A. McNeill

Astron. Comput., 2022

Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations.

Benoît Gallet, Michael Gowanlock

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021

Hybrid KNN-join: Parallel nearest neighbor searches exploiting CPU and GPU architectural features.

Michael Gowanlock

J. Parallel Distributed Comput., 2021

Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies.

Benoît Gallet, Michael Gowanlock

Data Sci. Eng., 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, D. E. Trilling, N. R. Butler, Brian Donnelly

Astron. Comput., 2021

A Response-Based Cryptography Engine in Distributed-Memory.

Christopher Robert Philabaum, Christopher Coffey, Bertrand Cambou, Michael Gowanlock

Proceedings of the Intelligent Computing, 2021

A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures.

Michael Gowanlock, Zane Fink, Ben Karsin, Jordan Wright

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

SABER-GPU: A Response-Based Cryptography Algorithm for SABER on the GPU.

Kaitlyn Lee, Michael Gowanlock, Bertrand Cambou

Proceedings of the 26th IEEE Pacific Rim International Symposium on Dependable Computing, 2021

Data-Intensive Computing Modules for Teaching Parallel and Distributed Computing.

Michael Gowanlock, Benoît Gallet

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Accelerating the Yinyang K-Means Algorithm Using the GPU.

Colin Taylor, Michael Gowanlock

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CUDA-DClust+: Revisiting Early GPU-Accelerated DBSCAN Clustering Designs.

Madhav Poudel, Michael Gowanlock

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

A Symmetric Cipher Response-Based Cryptography Engine Accelerated Using GPGPU.

Jordan Wright, Zane Fink, Michael Gowanlock, Christopher Robert Philabaum, Brian Donnelly, Bertrand Cambou

Proceedings of the IEEE Conference on Communications and Network Security, 2021

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 coordinate-oblivious index for high-dimensional distance similarity searches on the GPU.

Brian Donnelly, Michael Gowanlock

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

HEGJoin: Heterogeneous CPU-GPU Epsilon Grids for Accelerated Distance Similarity Join.

Benoît Gallet, Michael Gowanlock

Proceedings of the Database Systems for Advanced Applications, 2020

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

A hybrid CPU/GPU approach for optimizing sorting throughput.

Michael Gowanlock, Ben Karsin

Parallel Comput., 2019

Accelerating the similarity self-join using the GPU.

Michael Gowanlock, Ben Karsin

J. Parallel Distributed Comput., 2019

Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity Joins.

Benoît Gallet, Michael Gowanlock

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Hybrid CPU/GPU clustering in shared memory on the billion point scale.

Michael Gowanlock

Proceedings of the ACM International Conference on Supercomputing, 2019

Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives.

Michael Gowanlock, Ben Karsin, Zane Fink, Jordan Wright

Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data.

Michael Gowanlock, Ben Karsin

Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

KNN-Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics.

Michael Gowanlock

Proceedings of the 12th Workshop on General Purpose Processing Using GPUs, 2019

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

Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics.

Michael Gowanlock

CoRR, 2018

Sorting Large Datasets with Heterogeneous CPU/GPU Architectures.

Michael Gowanlock, Ben Karsin

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

GPU Accelerated Self-Join for the Distance Similarity Metric.

Michael Gowanlock, Ben Karsin

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017

Optimizing Parallel Clustering Throughput in Shared Memory.

Michael G. Gowanlock, David M. Blair, Victor Pankratius

IEEE Trans. Parallel Distributed Syst., 2017

Clustering Throughput Optimization on the GPU.

Michael G. Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016

Distance Threshold Similarity Searches: Efficient Trajectory Indexing on the GPU.

Michael G. Gowanlock, Henri Casanova

IEEE Trans. Parallel Distributed Syst., 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

Exploiting Variant-Based Parallelism for Data Mining of Space Weather Phenomena.

Michael G. Gowanlock, David M. Blair, Victor Pankratius

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

Indexing of Spatiotemporal Trajectories for Efficient Distance Threshold Similarity Searches on the GPU.

Michael G. Gowanlock, Henri Casanova

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014

Technical Report: Towards Efficient Indexing of Spatiotemporal Trajectories on the GPU for Distance Threshold Similarity Searches.

Michael G. Gowanlock, Henri Casanova

CoRR, 2014

Technical Report: Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU.

Michael G. Gowanlock, Henri Casanova

CoRR, 2014

Distance threshold similarity searches on spatiotemporal trajectories using GPGPU.

Michael G. Gowanlock, Henri Casanova

Proceedings of the 21st International Conference on High Performance Computing, 2014

2013

Assessing researcher interdisciplinarity: a case study of the University of Hawaii NASA Astrobiology Institute.

Michael G. Gowanlock, Rich Gazan

Scientometrics, 2013