Michael G. Gowanlock

Orcid: 0000-0002-0826-6204

Affiliations:
  • Northern Arizona University, School of Informatics, Computing & Cyber Systems, Flagstaff, USA


According to our database1, Michael G. Gowanlock authored at least 41 papers between 2013 and 2023.

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Bibliography

2023
Removing aliases in time-series photometry.
Astron. Comput., July, 2023

Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol.
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.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Computing Double Precision Euclidean Distances using GPU Tensor Cores.
CoRR, 2022

GPU-enabled searches for periodic signals of unknown shape.
Astron. Comput., 2022

Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations.
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.
J. Parallel Distributed Comput., 2021

Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies.
Data Sci. Eng., 2021

Fast period searches using the Lomb-Scargle algorithm on Graphics Processing Units for large datasets and real-time applications.
Astron. Comput., 2021

A Response-Based Cryptography Engine in Distributed-Memory.
Proceedings of the Intelligent Computing, 2021

A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures.
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.
Proceedings of the 26th IEEE Pacific Rim International Symposium on Dependable Computing, 2021

Data-Intensive Computing Modules for Teaching Parallel and Distributed Computing.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Accelerating the Yinyang K-Means Algorithm Using the GPU.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CUDA-DClust+: Revisiting Early GPU-Accelerated DBSCAN Clustering Designs.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

A Symmetric Cipher Response-Based Cryptography Engine Accelerated Using GPGPU.
Proceedings of the IEEE Conference on Communications and Network Security, 2021

2020
Securing Additive Manufacturing with Blockchains and Distributed Physically Unclonable Functions.
Cryptogr., 2020

A coordinate-oblivious index for high-dimensional distance similarity searches on the GPU.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

HEGJoin: Heterogeneous CPU-GPU Epsilon Grids for Accelerated Distance Similarity Join.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU.
IEEE Trans. Parallel Distributed Syst., 2019

A hybrid CPU/GPU approach for optimizing sorting throughput.
Parallel Comput., 2019

Accelerating the similarity self-join using the GPU.
J. Parallel Distributed Comput., 2019

Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity Joins.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Hybrid CPU/GPU clustering in shared memory on the billion point scale.
Proceedings of the ACM International Conference on Supercomputing, 2019

Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives.
Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data.
Proceedings of the 15th International Workshop on Data Management on New Hardware, 2019

KNN-Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics.
Proceedings of the 12th Workshop on General Purpose Processing Using GPUs, 2019

2018
Parallel optimization of signal detection in active magnetospheric signal injection experiments.
Comput. Geosci., 2018

Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics.
CoRR, 2018

Sorting Large Datasets with Heterogeneous CPU/GPU Architectures.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

GPU Accelerated Self-Join for the Distance Similarity Metric.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

2017
Optimizing Parallel Clustering Throughput in Shared Memory.
IEEE Trans. Parallel Distributed Syst., 2017

Clustering Throughput Optimization on the GPU.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016
Distance Threshold Similarity Searches: Efficient Trajectory Indexing on the GPU.
IEEE Trans. Parallel Distributed Syst., 2016

Computer-Aided Discovery: Toward Scientific Insight Generation with Machine Support.
IEEE Intell. Syst., 2016

Exploiting Variant-Based Parallelism for Data Mining of Space Weather Phenomena.
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.
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.
CoRR, 2014

Technical Report: Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU.
CoRR, 2014

Distance threshold similarity searches on spatiotemporal trajectories using GPGPU.
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.
Scientometrics, 2013


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