Search Results for author: Yangrui Chen

Found 4 papers, 2 papers with code

Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation

no code implementations7 Aug 2024 Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu

Multimodal large language models (MLLMs) have extended the success of large language models (LLMs) to multiple data types, such as image, text and audio, achieving significant performance in various domains, including multimodal translation, visual question answering and content generation.

Question Answering Scheduling +1

BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing

no code implementations16 Dec 2021 Tianfeng Liu, Yangrui Chen, Dan Li, Chuan Wu, Yibo Zhu, Jun He, Yanghua Peng, Hongzheng Chen, Hongzhi Chen, Chuanxiong Guo

Extensive experiments on various GNN models and large graph datasets show that BGL significantly outperforms existing GNN training systems by 20. 68x on average.

Graph Property Prediction Node Classification +1

DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters

1 code implementation13 Sep 2019 Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei. Lin

DL2 is a DL-driven scheduler for DL clusters, targeting global training job expedition by dynamically resizing resources allocated to jobs.

Deep Learning Fairness +4

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