AmgX: A Library for GPU Accelerated Algebraic Multigrid and Preconditioned Iterative Methods. - Maxim Naumov; M. Arsaev; Patrice Castonguay; Jonathan M. Cohen; Julien Demouth; Joe Eaton; Simon K. Layton; N. Markovskiy; István Z. Reguly; Nikolai Sakharnykh; V. Sellappan; Robert Strzodka (SIAM J. Sci. Comput., 2015)

Accelerated Hybrid Approach for Spectral Problems Arising in Graph Analytics. - Alexandre Fender; Nahid Emad; Joe Eaton; Serge G. Petiton (ICCS, 2016)

Parallel jaccard and related graph clustering techniques. - Alexandre Fender; Nahid Emad; Serge G. Petiton; Joe Eaton; Maxim Naumov (ScalA@SC, 2017)

Attack Graph Convolutional Networks by Adding Fake Nodes. - Xiaoyun Wang 001; Joe Eaton; Cho-Jui Hsieh; Shyhtsun Felix Wu (CoRR, 2018)

Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters. - Seunghwa Kang; Alexandre Fender; Joe Eaton; Brad Rees (HPEC, 2020)

Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences. - Benjamín Hernández; Suhas Somnath; Junqi Yin; Hao Lu 001; Joe Eaton; Peter Entschev; John Kirkham; Zahra Ronaghi (SMC, 2020)

Semiring Primitives for Sparse Neighborhood Methods on the GPU. - Corey J. Nolet; Divye Gala; Edward Raff; Joe Eaton; Brad Rees; John Zedlewski; Tim Oates 001 (CoRR, 2021)

RAPIDS cuGraph. - Alexandre Fender; Brad Rees; Joe Eaton (Massive Graph Analytics, 2022)

Generating Permutations Using Hash Tables. - Oded Green; Corey Nolet; Joe Eaton (HPEC, 2022)

Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow. - Brad Rees; Xiaoyun Wang 001; Joe Eaton; Onur Yilmaz; Rick Ratzel; Dominique LaSalle (KDD, 2022)

GPU Semiring Primitives for Sparse Neighborhood Methods. - Corey J. Nolet; Divye Gala; Edward Raff; Joe Eaton; Brad Rees; Tim Oates 001 (MLSys, 2022)

cuGraph C++ primitives: vertex/edge-centric building blocks for parallel graph computing. - Seunghwa Kang; Chuck Hastings; Joe Eaton; Brad Rees (IPDPS Workshops, 2023)

cuSLINK: Single-Linkage Agglomerative Clustering on the GPU. - Corey J. Nolet; Divye Gala; Alexandre Fender; Mahesh Doijade; Joe Eaton; Edward Raff; John Zedlewski; Brad Rees; Tim Oates 001 (ECML/PKDD (1), 2023)