Yangrui Chen

According to our database1, Yangrui Chen authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fast evaluation method of post-impact performance of bridges based on dynamic load test data using Gaussian process regression.
Eng. Appl. Artif. Intell., January, 2024

Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation.
CoRR, 2024

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

2023
SP-GNN: Learning structure and position information from graphs.
Neural Networks, April, 2023

Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model.
Artif. Intell. Rev., 2023

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters.
IEEE Trans. Parallel Distributed Syst., 2021

2020
Preemptive All-reduce Scheduling for Expediting Distributed DNN Training.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Elastic parameter server load distribution in deep learning clusters.
Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019
A generic communication scheduler for distributed DNN training acceleration.
Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

2018
Optimus: an efficient dynamic resource scheduler for deep learning clusters.
Proceedings of the Thirteenth EuroSys Conference, 2018


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