Joe Eaton

According to our database1, Joe Eaton authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
cuSLINK: Single-Linkage Agglomerative Clustering on the GPU.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

cuGraph C++ primitives: vertex/edge-centric building blocks for parallel graph computing.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
GPU Semiring Primitives for Sparse Neighborhood Methods.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Generating Permutations Using Hash Tables.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

RAPIDS cuGraph.
Proceedings of the Massive Graph Analytics, 2022

2021
Semiring Primitives for Sparse Neighborhood Methods on the GPU.
CoRR, 2021

2020
Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2018
Attack Graph Convolutional Networks by Adding Fake Nodes.
CoRR, 2018

2017
Parallel jaccard and related graph clustering techniques.
Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2017

2016
Accelerated Hybrid Approach for Spectral Problems Arising in Graph Analytics.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods.
SIAM J. Sci. Comput., 2015


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