| Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ... 15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021 | 184 | 2021 |
| Managed communication and consistency for fast data-parallel iterative analytics J Wei, W Dai, A Qiao, Q Ho, H Cui, GR Ganger, PB Gibbons, GA Gibson, ... Proceedings of the Sixth ACM Symposium on Cloud Computing, 381-394, 2015 | 149 | 2015 |
| Litz: An Elastic Framework for High-Performance Distributed Machine Learning A Qiao, A Aghayev, W Yu, H Chen, Q Ho, GA Gibson, EP Xing | 66 | 2017 |
| Multi-pivot quicksort: Theory and experiments S Kushagra, A López-Ortiz, A Qiao, JI Munro 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and …, 2014 | 63 | 2014 |
| Fault tolerance in iterative-convergent machine learning A Qiao, B Aragam, B Zhang, E Xing International Conference on Machine Learning, 5220-5230, 2019 | 52 | 2019 |
| LLM360: Towards fully transparent open-source llms Z Liu, A Qiao, W Neiswanger, H Wang, B Tan, T Tao, J Li, Y Wang, S Sun, ... arXiv preprint arXiv:2312.06550, 2023 | 46 | 2023 |
| Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling S Jayaram Subramanya, D Arfeen, S Lin, A Qiao, Z Jia, GR Ganger Proceedings of the 29th Symposium on Operating Systems Principles, 642-657, 2023 | 37 | 2023 |
| Elastic management of machine learning computing A Qiao, Q Ho, E Xing US Patent 10,649,806, 2020 | 15 | 2020 |
| Operating system for distributed enterprise artificial intelligence programs on data centers and the clouds W Dai, W Yu, EP Xing, A Qiao, Q Ho US Patent 10,782,988, 2020 | 8 | 2020 |
| Scaling HDBSCAN Clustering with kNN Graph Approximation J Jackson, A Qiao, EP Xing | 2 | 2018 |
| SuffixDecoding: A Model-Free Approach to Speeding Up Large Language Model Inference G Oliaro, Z Jia, D Campos, A Qiao arXiv preprint arXiv:2411.04975, 2024 | | 2024 |
| SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation A Qiao, Z Yao, S Rajbhandari, Y He arXiv preprint arXiv:2410.03960, 2024 | | 2024 |
| STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning J Lee, A Qiao, DF Campos, Z Yao, Y He arXiv preprint arXiv:2409.06211, 2024 | | 2024 |
| Efficient LLM Scheduling by Learning to Rank Y Fu, S Zhu, R Su, A Qiao, I Stoica, H Zhang arXiv preprint arXiv:2408.15792, 2024 | | 2024 |
| Elastic Machine Learning Systems with Co-adaptation A Qiao Carnegie Mellon University, 2021 | | 2021 |
| AUTODIST: ACOMPOSABLE AND AUTOMATED SYNCHRONIZATION SYSTEM FOR DISTRIBUTED DEEP LEARNING H Zhang, P Wu, Z Deng, C Li, Q Ho, A Qiao, Z Wang, EP Xing | | |
| Training Larger Models on TensorFlow without Additional GPU J Wei, A Qiao, A Jayarajan, G Gibson, V Vasudevan, E Xing | | |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
