Michael Gowanlock

36 papers A* 1A 2B 1C 3Misc 5Journal 13Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores. ICPP Brian Curless, Michael Gowanlock
2025	J	`jnl`	Fast and Scalable Mixed Precision Euclidean Distance Calculations Using GPU Tensor Cores. CoRR Brian Curless, Michael Gowanlock
2025	—	`conf`	Performance Characterization of Parallel Combination Generators on CPU and GPU Systems. IPDPS (Workshops) Brian Donnelly, Michael Gowanlock
2025	J	`jnl`	Teaching parallel and distributed computing using data-intensive computing modules. J. Parallel Distributed Comput. Michael Gowanlock
2024	Misc	`conf`	GDBOD: Density-Based Outlier Detection Exploiting Efficient Tree Traversals on the GPU. HiPC Revanth Reddy Munugala, Michael Gowanlock
2024	Misc	`conf`	Multi-Space Tree with Incremental Construction for GPU-Accelerated Range Queries. HiPC Brian Donnelly, Michael Gowanlock
2023	—	`conf`	Evaluating Accelerators for a High-Throughput Hash-Based Security Protocol. ICPP Workshops Kaitlyn Lee, Brian Donnelly, Tomer Sery, Dan Ilan, Bertrand Cambou, Michael Gowanlock
2023	—	`conf`	Optimization and Comparison of Coordinate- and Metric-Based Indexes on GPUs for Distance Similarity Searches. ICCS (2) Michael Gowanlock, Benoît Gallet, Brian Donnelly
2023	J	`jnl`	Removing aliases in time-series photometry. Astron. Comput. Daniel Kramer, Michael Gowanlock, David E. Trilling, A. McNeill, Nicolas Erasmus
2022	J	`jnl`	Computing Double Precision Euclidean Distances using GPU Tensor Cores. CoRR Benoît Gallet, Michael Gowanlock
2022	Misc	`conf`	Leveraging GPU Tensor Cores for Double Precision Euclidean Distance Calculations. HIPC Benoît Gallet, Michael Gowanlock
2021	—	`conf`	A Response-Based Cryptography Engine in Distributed-Memory. SAI (3) Christopher Robert Philabaum, Christopher Coffey, Bertrand Cambou, Michael Gowanlock
2021	—	`conf`	A Symmetric Cipher Response-Based Cryptography Engine Accelerated Using GPGPU. CNS Jordan Wright, Zane Fink, Michael Gowanlock, Christopher Robert Philabaum, Brian Donnelly, Bertrand Cambou
2021	Misc	`conf`	A study of work distribution and contention in database primitives on heterogeneous CPU/GPU architectures. SAC Michael Gowanlock, Zane Fink, Ben Karsin, Jordan Wright
2021	A*	`conf`	Accelerating the Yinyang K-Means Algorithm Using the GPU. ICDE Colin Taylor, Michael Gowanlock
2021	Misc	`conf`	CUDA-DClust+: Revisiting Early GPU-Accelerated DBSCAN Clustering Designs. HiPC Madhav Poudel, Michael Gowanlock
2021	—	`conf`	Data-Intensive Computing Modules for Teaching Parallel and Distributed Computing. IPDPS Workshops Michael Gowanlock, Benoît Gallet
2021	J	`jnl`	Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies. Data Sci. Eng. Benoît Gallet, Michael Gowanlock
2021	J	`jnl`	Hybrid KNN-join: Parallel nearest neighbor searches exploiting CPU and GPU architectural features. J. Parallel Distributed Comput. Michael Gowanlock
2021	C	`conf`	SABER-GPU: A Response-Based Cryptography Algorithm for SABER on the GPU. PRDC Kaitlyn Lee, Michael Gowanlock, Bertrand Cambou
2020	A	`conf`	A coordinate-oblivious index for high-dimensional distance similarity searches on the GPU. ICS Brian Donnelly, Michael Gowanlock
2020	—	`conf`	HEGJoin: Heterogeneous CPU-GPU Epsilon Grids for Accelerated Distance Similarity Join. DASFAA (3) Benoît Gallet, Michael Gowanlock
2020	J	`jnl`	Securing Additive Manufacturing with Blockchains and Distributed Physically Unclonable Functions. Cryptogr. Bertrand Cambou, Michael Gowanlock, Julie Heynssens, Saloni Jain, Christopher Robert Philabaum, Duane Booher, Ian Burke, Jack Garrard, Donald Telesca, Laurent Njilla
2019	J	`jnl`	A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU. IEEE Trans. Parallel Distributed Syst. Michael Gowanlock, Cody M. Rude, David M. Blair, Justin D. Li, Victor Pankratius
2019	J	`jnl`	A hybrid CPU/GPU approach for optimizing sorting throughput. Parallel Comput. Michael Gowanlock, Ben Karsin
2019	C	`conf`	Accelerating the Unacceleratable: Hybrid CPU/GPU Algorithms for Memory-Bound Database Primitives. DaMoN Michael Gowanlock, Ben Karsin, Zane Fink, Jordan Wright
2019	J	`jnl`	Accelerating the similarity self-join using the GPU. J. Parallel Distributed Comput. Michael Gowanlock, Ben Karsin
2019	C	`conf`	GPU-Accelerated Similarity Self-Join for Multi-Dimensional Data. DaMoN Michael Gowanlock, Ben Karsin
2019	A	`conf`	Hybrid CPU/GPU clustering in shared memory on the billion point scale. ICS Michael Gowanlock
2019	—	`conf`	KNN-Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. GPGPU@ASPLOS Michael Gowanlock
2019	—	`conf`	Load Imbalance Mitigation Optimizations for GPU-Accelerated Similarity Joins. IPDPS Workshops Benoît Gallet, Michael Gowanlock
2018	—	`conf`	GPU Accelerated Self-Join for the Distance Similarity Metric. IPDPS Workshops Michael Gowanlock, Ben Karsin
2018	J	`jnl`	GPU Accelerated Self-join for the Distance Similarity Metric. CoRR Michael Gowanlock, Ben Karsin
2018	J	`jnl`	GPU Accelerated Similarity Self-Join for Multi-Dimensional Data. CoRR Michael Gowanlock, Ben Karsin
2018	—	`conf`	Sorting Large Datasets with Heterogeneous CPU/GPU Architectures. IPDPS Workshops Michael Gowanlock, Ben Karsin
2018	J	`jnl`	Technical Report: KNN Joins Using a Hybrid Approach: Exploiting CPU/GPU Workload Characteristics. CoRR Michael Gowanlock