Aurick Qiao

According to our database, Aurick Qiao authored at least 12 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation.

Aurick Qiao, Zhewei Yao, Samyam Rajbhandari, Yuxiong He

CoRR, 2024

STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning.

Jaeseong Lee, Seung-won Hwang, Aurick Qiao, Daniel F. Campos, Zhewei Yao, Yuxiong He

CoRR, 2024

Efficient LLM Scheduling by Learning to Rank.

Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang

CoRR, 2024

2023

LLM360: Towards Fully Transparent Open-Source LLMs.

Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing

CoRR, 2023

Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling.

Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, Gregory R. Ganger

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

2021

Elastic Machine Learning Systems with Co-adaptation.

Aurick Qiao

PhD thesis, 2021

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning.

Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

CoRR, 2020

2019

Fault Tolerance in Iterative-Convergent Machine Learning.

Aurick Qiao, Bryon Aragam, Bingjing Zhang, Eric P. Xing

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Litz: Elastic Framework for High-Performance Distributed Machine Learning.

Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

2015

Managed communication and consistency for fast data-parallel iterative analytics.

Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2014

Multi-Pivot Quicksort: Theory and Experiments.

Shrinu Kushagra, Alejandro López-Ortiz, Aurick Qiao, J. Ian Munro

Proceedings of the 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and Experiments, 2014