E-LIB Suche - Ergebnisse für: Chen, Langshi

1

PICASSO: Unleashing the Potential of GPU-centric Training f..:

, In: 2022 IEEE 38th International Conference on Data Engineering (ICDE),

Zhang, Yuanxing ; Chen, Langshi ; Yang, Siran... - p. 3453-3466 , 2022

Link: https://doi.org/10.1109/..

2

SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting:

, In: 2019 IEEE International Conference on Big Data (Big Data),

Chen, Langshi ; Li, Jiayu ; Sahinalp, Cenk... - p. 483-492 , 2019

Link: https://doi.org/10.1109/..

3

HarpGBDT: Optimizing Gradient Boosting Decision Tree for Pa..:

, In: 2019 IEEE International Conference on Cluster Computing (CLUSTER),

Peng, Bo ; Qiu, Judy ; Chen, Langshi... - p. 1-11 , 2019

Link: https://doi.org/10.1109/..

4

Finding and Counting Tree-Like Subgraphs Using MapReduce:

Zhao, Zhao ; Chen, Langshi ; Avram, Mihai...
IEEE Transactions on Multi-Scale Computing Systems. 4 (2018) 3 - p. 217-230 , 2018

Link: https://doi.org/10.1109/..

5

HybridBackend:

Yuan, Man ; Chen, Langshi
https://github.com/DeepRec-AI/HybridBackend/tree/v1.0.0. , 2023

Link: https://zenodo.org/recor..

6

HybridBackend:

Yuan, Man ; Chen, Langshi
https://github.com/alibaba/HybridBackend/tree/v0.8.0. , 2023

Link: https://zenodo.org/recor..

7

HybridBackend:

Yuan, Man ; Chen, Langshi
https://github.com/alibaba/HybridBackend/tree/v0.5.4. , 2022

Link: https://zenodo.org/recor..

8

HybridBackend:

Yuan, Man ; Chen, Langshi
https://github.com/alibaba/HybridBackend/tree/v0.7.0. , 2022

Link: https://zenodo.org/recor..

9

PICASSO: Unleashing the Potential of GPU-centric Training f..:

Zhang, Yuanxing ; Chen, Langshi ; Yang, Siran...
http://arxiv.org/abs/2204.04903. , 2022

Link: http://arxiv.org/abs/220..

10

Whale: Efficient Giant Model Training over Heterogeneous GP..:

Jia, Xianyan ; Jiang, Le ; Wang, Ang...
http://arxiv.org/abs/2011.09208. , 2020

Link: http://arxiv.org/abs/201..

11

SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting:

Chen, Langshi ; Li, Jiayu ; Azad, Ariful...
http://arxiv.org/abs/2009.11665. , 2020

Link: http://arxiv.org/abs/200..

12

A GraphBLAS Approach for Subgraph Counting:

Chen, Langshi ; Li, Jiayu ; Azad, Ariful...
http://arxiv.org/abs/1903.04395. , 2019

Link: http://arxiv.org/abs/190..

13

High-Performance Massive Subgraph Counting using Pipelined ..:

Chen, Langshi ; Peng, Bo ; Ossen, Sabra...
http://arxiv.org/abs/1804.09764. , 2018

Link: http://arxiv.org/abs/180..

14

Performance Characterization of Multi-threaded Graph Proces..:

Jiang, Lei ; Chen, Langshi ; Qiu, Judy
http://arxiv.org/abs/1708.04701. , 2017

Link: http://arxiv.org/abs/170..

15

Méthode de Krylov itératives avec communication et efficaci..:

Chen, Langshi
http://www.theses.fr/2015LIL10114/document. , 2015

Link: http://www.theses.fr/201..