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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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portfolio
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publications
Characterizing Output Bottlenecks in A Supercomputer
Published in SC, 2012
Best Paper Finalist, Best Student Paper Finalist
Bing Xie, Jeff Chase, David Dillow, Oleg Drokin, Scott Klasky, Sarp Oral, Norbert Podhorszki
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Predicting Output Performance of A Petascale Supercomputer
Published in HPDC, 2017
Bing Xie, Yezhou Huang, Jeff Chase, Jong Youl Choi, Scott Klasky, Jay Lofstead, Sarp Oral
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Output Performance Study on A Production Petascale Filesystem
Published in HPC IODC Workshop, 2017
Bing Xie, Jeff Chase, David Dillow, Scott Klasky, Jay Lofstead, Sarp Oral, Norbert Podhorszki
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Data Jockey: Automatic Data Management for HPC Multi-tiered Storage Systems
Published in IPDPS, 2019
Woong Shin, Christopher D. Brumgard, Bing Xie, Sudharshan S. Vazhkudai, Devarshi Ghoshal, Sarp Oral, Lavanya Ramakrishnan.
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Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems
Published in PDSW Workshop, 2019
Bing Xie, Zilong Tan, Philip Carns, Jeff Chase, Kevin Harms, Jay Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang.
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Characterizing Output Bottlenecks of A Production Supercomputer: Analysis and Implications
Published in ACM Transactions on Storage, 2020
Bing Xie, Sarp Oral, Chris Zimmer, Jong Youl Choi, Dave Dillow, Scott Klasky, Jay Lofstead, Norbert Podhorszki, Jeff Chase
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RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning
Published in SC, 2020
Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao, Bing Xie
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Interpreting Write Performance of Supercomputer I/O Systems with Regression Models
Published in IPDPS, 2021
Bing Xie, Zilong Tan, Phil Carns, Jeff Chase, Kevin Harms, Jay Lofstead, Sarp Oral, Sudharshan Vazhkudai, Feiyi Wang
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Battle of the Defaults: Extracting Performance Characteristics of HDF5 under Production Load
Published in CCGrid, 2021
Bing Xie, Houjun Tang, Suren Byna, Jesse Hanley, Quincey Koziol, Tonglin Li, Sarp Oral
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WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows
Published in Cluster, 2021
Bing Xie, Qiang Cao, Mayuresh Kunjir, Linli Wan, Jeff Chase, Anirban Mandal, Mats Rynge
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I/O Bottleneck Detection and Tuning:Connecting the Dots using Interactive Log Analysis
Published in PDSW, 2021
Jean Luca Bez, Houjun Tang, Bing Xie, David Williams-Young, Rob Latham, Rob Ross, Sarp Oral, Suren Byna
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SCTuner: An Autotuner Addressing Dynamic I/O Needs on Supercomputer I/O Subsystems
Published in PDSW, 2021
Houjun Tang*, Bing Xie*, Suren Byna, Philip Carns, Quincey Koziol, Sudarsun Kannan, Jay Lofstead, Sarp Oral (* equal contribution)
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Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks
Published in NSDI, 2022
Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Borisevich, Alex Sergeev, Michael Matheson
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RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules
Published in SC, 2023
Zheng Pan, Yikang Ding, Zhen Zheng, Fei Zhang, Bing Xie, Ruofan Wu, Samuel Smith, Changyou Liu, Olatunji Ruwase, Xiaoyong Du
FastPersist: Accelerating Model Checkpointing in Deep Learning
Published in arXiv Preprint, 2024
Guanhua Wang, Olatunji Ruwase, Bing Xie, Yuxiong He
CrossPrefetch: Accelerating I/O Prefetching for Modern Storage
Published in ASPLOS, 2024
Shaleen Garg, Jian Zhang, Rajesh Pitchumani, Sharath Parashar, Bing Xie
Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters
Published in IPDPS, 2024
Di Zhang, Manav Raj, Bing Xie, Sheng Di, Dong Dai
Scaling Up Data Parallelism in Decentralized Deep Learning
Published in arXiv Preprint, 2025
Bing Xie, Junqi Yin, Zihao Zhou, Sarp Oral, Feiyi Wang ( equal contribution)
Peek: Queue-Predictive KV Cache Management for LLM Serving
Published in Under Preparation, 2026
Bing Xie et al.