Michael Gowanlock

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 30

Top Topics

Top Venues

IPDPS Workshops

Publications

Michael Gowanlock, Benoît Gallet, Brian Donnelly
Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches. ICCS (2) (2023)
Kaitlyn Lee, Brian Donnelly, Tomer Sery, Dan Ilan, Bertrand Cambou, Michael Gowanlock
Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol. ICPP Workshops (2023)
Daniel Kramer, Michael Gowanlock, D. E. Trilling, A. McNeill, N. Erasmus
Removing aliases in time-series photometry. Astron. Comput. 44 (2023)
Benoît Gallet, Michael Gowanlock
Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations. HIPC (2022)
Benoît Gallet, Michael Gowanlock
Computing Double Precision Euclidean Distances using GPU Tensor Cores. CoRR (2022)
Madhav Poudel, Michael Gowanlock
CUDA-DClust+: Revisiting Early GPU-Accelerated DBSCAN Clustering Designs. HiPC (2021)
Michael Gowanlock, Benoît Gallet
Data-Intensive Computing Modules for Teaching Parallel and Distributed Computing. IPDPS Workshops (2021)
Jordan Wright, Zane Fink, Michael Gowanlock, Christopher Robert Philabaum, Brian Donnelly, Bertrand Cambou
A Symmetric Cipher Response-Based Cryptography Engine Accelerated Using GPGPU. CNS (2021)
Christopher Robert Philabaum, Christopher Coffey, Bertrand Cambou, Michael Gowanlock
A Response-Based Cryptography Engine in Distributed-Memory. SAI (3) (2021)
Michael Gowanlock, Zane Fink, Ben Karsin, Jordan Wright
A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures. SAC (2021)
Colin Taylor, Michael Gowanlock
Accelerating the Yinyang K-Means Algorithm Using the GPU. ICDE (2021)
Benoît Gallet, Michael Gowanlock
Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies. Data Sci. Eng. 6 (1) (2021)
Michael Gowanlock
Hybrid KNN-join: Parallel nearest neighbor searches exploiting CPU and GPU architectural features. J. Parallel Distributed Comput. 149 (2021)
Kaitlyn Lee, Michael Gowanlock, Bertrand Cambou
SABER-GPU: A Response-Based Cryptography Algorithm for SABER on the GPU. PRDC (2021)
Brian Donnelly, Michael Gowanlock
A coordinate-oblivious index for high-dimensional distance similarity searches on the GPU. ICS (2020)
Benoît Gallet, Michael Gowanlock
HEGJoin: Heterogeneous CPU-GPU Epsilon Grids for Accelerated Distance Similarity Join. DASFAA (3) (2020)
Bertrand Cambou, Michael Gowanlock, Julie Heynssens, Saloni Jain, Christopher Robert Philabaum, Duane Booher, Ian Burke, Jack Garrard, Donald Telesca, Laurent Njilla
Securing Additive Manufacturing with Blockchains and Distributed Physically Unclonable Functions. Cryptogr. 4 (2) (2020)
Michael Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius
A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU. IEEE Trans. Parallel Distributed Syst. 30 (4) (2019)
Benoît Gallet, Michael Gowanlock
Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity Joins. IPDPS Workshops (2019)
Michael Gowanlock, Ben Karsin, Zane Fink, Jordan Wright
Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives. DaMoN (2019)
Michael Gowanlock
Hybrid CPU/GPU clustering in shared memory on the billion point scale. ICS (2019)
Michael Gowanlock
KNN-Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. GPGPU@ASPLOS (2019)
Michael Gowanlock, Ben Karsin
GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data. DaMoN (2019)
Michael Gowanlock, Ben Karsin
A hybrid CPU/GPU approach for optimizing sorting throughput. Parallel Comput. 85 (2019)
Michael Gowanlock, Ben Karsin
Accelerating the similarity self-join using the GPU. J. Parallel Distributed Comput. 133 (2019)
Michael Gowanlock, Ben Karsin
Sorting Large Datasets with Heterogeneous CPU/GPU Architectures. IPDPS Workshops (2018)
Michael Gowanlock, Ben Karsin
GPU Accelerated Self-Join for the Distance Similarity Metric. IPDPS Workshops (2018)
Michael Gowanlock, Ben Karsin
GPU Accelerated Self-join for the Distance Similarity Metric. CoRR (2018)
Michael Gowanlock, Ben Karsin
GPU Accelerated Similarity Self-Join for Multi-Dimensional Data. CoRR (2018)
Michael Gowanlock
Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. CoRR (2018)