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cs.DC2025
Tesserae: Scalable Placement Policies for Deep Learning Workloads
Song Bian, Saurabh Agarwal, Md. Tareq Mahmood +1
Training deep learning (DL) models has become a dominant workload in data-centers and improving resource utilization is a key goal of DL cluster schedulers. In order to do this, sc…
cs.DC2024★ 6 cited
Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native
Yao Lu, Song Bian, Lequn Chen +19
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures. Recent large models such as ChatGPT, while revolutionary in t…