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Dominique LaSalle
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2020 – today
- 2023
- [i2]Muhammed Fatih Balin, Dominique LaSalle, Ümit V. Çatalyürek:
Cooperative Minibatching in Graph Neural Networks. CoRR abs/2310.12403 (2023) - 2022
- [c6]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 - 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)
2010 – 2019
- 2016
- [c5]Dominique LaSalle, George Karypis
:
A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning. ICPP 2016: 236-241 - 2015
- [j2]Dominique LaSalle, George Karypis
:
Multi-threaded modularity based graph clustering using the multilevel paradigm. J. Parallel Distributed Comput. 76: 66-80 (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 - 2014
- [j1]Dominique LaSalle, George Karypis
:
MPI for Big Data: New tricks for an old dog. Parallel Comput. 40(10): 754-767 (2014) - 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
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