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Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 24). :1121--1139.
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2024. Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs. 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23). :497--513.
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2023. ZeRO-Offload: Democratizing Billion-Scale Model Training. 2021 USENIX Annual Technical Conference (USENIX ATC 21). :551--564.
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2021. Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. 2019 USENIX Conference on Operational Machine Learning (OpML 19). :5--7.
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2019. DeepCPU: Serving RNN-based Deep Learning Models 10x Faster. 2018 USENIX Annual Technical Conference (USENIX ATC 18). :951--965.
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2018.