Langshi Chen

Orcid: 0009-0005-4800-3782

According to our database1, Langshi Chen authored at least 16 papers between 2014 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.
Proc. ACM Manag. Data, 2023

2022
Whale: Efficient Giant Model Training over Heterogeneous GPUs.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2020
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting.
CoRR, 2020

2019
A GraphBLAS Approach for Subgraph Counting.
CoRR, 2019

HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Finding and Counting Tree-Like Subgraphs Using MapReduce.
IEEE Trans. Multi Scale Comput. Syst., 2018

Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

2017
Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture.
CoRR, 2017

High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication.
Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017

HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2015
Toward Auto-tuned Krylov Basis Computation for Different Sparse Matrix Formats and Interconnects on GPU Clusters.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014
A Communication Optimization Scheme for Basis Computation of Krylov Subspace Methods on Multi-GPUs.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2014 - 11th International Conference, Eugene, OR, USA, June 30, 2014


  Loading...