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ORCIDDominique LaSalle
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Journal Articles
- 2015
[j2]Dominique LaSalle, George Karypis
:
Multi-threaded modularity based graph clustering using the multilevel paradigm. J. Parallel Distributed Comput. 76: 66-80 (2015)- 2014
- [j1]Dominique LaSalle, George Karypis:
MPI for Big Data: New tricks for an old dog. Parallel Comput. 40(10): 754-767 (2014)
Conference and Workshop Papers
- 2022
- [c7]Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis:
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs. KDD 2022: 4582-4591 - [c6]Brad Rees, Xiaoyun Wang, Joe Eaton, Onur Yilmaz, Rick Ratzel, Dominique LaSalle:
Accelerated GNN Training with DGL and RAPIDS cuGraph in a Fraud Detection Workflow. KDD 2022: 4820-4821 - 2016
- [c5]Dominique LaSalle, George Karypis:
A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning. ICPP 2016: 236-241 - 2015
- [c4]Dominique LaSalle, George Karypis:
Efficient Nested Dissection for Multicore Architectures. Euro-Par 2015: 467-478 - [c3]Dominique LaSalle, Md. Mostofa Ali Patwary, Nadathur Satish, Narayanan Sundaram, Pradeep Dubey, George Karypis:
Improving graph partitioning for modern graphs and architectures. IA3@SC 2015: 14:1-14:4 - 2013
- [c2]Dominique Lasalle, George Karypis:
Multi-threaded Graph Partitioning. IPDPS 2013: 225-236 - [c1]Dominique LaSalle, George Karypis:
BDMPI: conquering BigData with small clusters using MPI. DISCS@SC 2013: 19-24
Informal and Other Publications
- 2023
- [i2]Muhammed Fatih Balin, Dominique LaSalle, Ümit V. Çatalyürek:
Cooperative Minibatching in Graph Neural Networks. CoRR abs/2310.12403 (2023) - 2021
- [i1]Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis:
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR abs/2112.15345 (2021)
Coauthor Index
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