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ORCIDDong Dai 0001
Person information
- affiliation: University of North Carolina at Charlotte, Department of Computer Science, Charlotte, NC, USA
- affiliation: Texas Tech University, Department of Computer Science, Lubbock, TX, USA
- affiliation: Argonne National Laboratory, Lemont, IL, USA
- affiliation (PhD): University of Science and Technology of China, Department of Computer Science and Technology, Hefei, China
Other persons with the same name
- Dong Dai — disambiguation page
- Dong Dai 0002 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, China (and 1 more)
- Dong Dai 0003 — Southeast University, School of Cyber Science and Engineering, Nanjing, China
- Dong Dai 0004
![[0000-0002-0231-1422]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0231-1422")
— IMS Health, Plymouth Meeting, PA, USA (and 1 more)
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2020 – today
- 2024
[j13]Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley:
PROV-IO$^+$+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. IEEE Trans. Parallel Distributed Syst. 35(5): 844-861 (2024)- [c50]Chris Egersdoerfer, Arnav Sareen, Jean Luca Bez, Suren Byna, Dong Dai:
ION: Navigating the HPC I/O Optimization Journey using Large Language Models. HotStorage 2024 - [c49]Di Zhang, Monish Soundar Raj, Bing Xie, Sheng Di, Dong Dai:
Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters. IPDPS 2024: 716-727 - [i9]Abdullah Al Raqibul Islam, Dong Dai:
DGAP: Efficient Dynamic Graph Analysis on Persistent Memory. CoRR abs/2403.02665 (2024) - [i8]Elliot Kolker-Hicks, Di Zhang, Dong Dai:
A Reinforcement Learning Based Backfilling Strategy for HPC Batch Jobs. CoRR abs/2404.09264 (2024) - 2023
- [j12]Dazhao Cheng, Yu Wang, Dong Dai:
Dynamic Resource Provisioning for Iterative Workloads on Apache Spark. IEEE Trans. Cloud Comput. 11(1): 639-652 (2023) - [c48]Chris Egersdoerfer, Di Zhang, Dong Dai:
Early Exploration of Using ChatGPT for Log-based Anomaly Detection on Parallel File Systems Logs. HPDC 2023: 315-316 - [c47]Di Zhang, Chris Egersdoerfer, Tabassum Mahmud, Mai Zheng, Dong Dai:
Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis. IPDPS 2023: 189-199 - [c46]Saisha Kamat, Abdullah Al Raqibul Islam, Mai Zheng, Dong Dai:
FaultyRank: A Graph-based Parallel File System Checker. IPDPS 2023: 200-210 - [c45]Abdullah Al Raqibul Islam, Dong Dai:
DGAP: Efficient Dynamic Graph Analysis on Persistent Memory. SC 2023: 93:1-93:13 - [c44]Elliot Kolker-Hicks, Di Zhang, Dong Dai:
A Reinforcement Learning Based Backfilling Strategy for HPC Batch Jobs. SC Workshops 2023: 1316-1323 - [i7]Md. Hasanur Rashid, Youbiao He, Forrest Sheng Bao, Dong Dai:
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path. CoRR abs/2301.06622 (2023) - [i6]Chris Egersdoerfer, Dong Dai, Di Zhang:
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection. CoRR abs/2301.07846 (2023) - [i5]Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf:
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. CoRR abs/2308.00891 (2023) - 2022
- [j11]Abdullah Al Raqibul Islam, Christopher York, Dong Dai:
A performance study of optane persistent memory: from storage data structures' perspective. CCF Trans. High Perform. Comput. 4(4): 370-393 (2022) - [j10]Runzhou Han, Om Rameshwar Gatla, Mai Zheng, Jinrui Cao, Di Zhang, Dong Dai, Yong Chen, Jonathan E. Cook:
A Study of Failure Recovery and Logging of High-Performance Parallel File Systems. ACM Trans. Storage 18(2): 14:1-14:44 (2022) - [c43]Abdullah Al Raqibul Islam, Dong Dai, Dazhao Cheng:
VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array. CCGRID 2022: 71-80 - [c42]Chris Egersdoerfer, Di Zhang, Dong Dai:
ClusterLog: Clustering Logs for Effeftxsctive Log-based Anomaly Detection. FTXS@SC 2022: 1-10 - [c41]Di Zhang, Dong Dai, Bing Xie:
SchedInspector: A Batch Job Scheduling Inspector Using Reinforcement Learning. HPDC 2022: 97-109 - 2021
- [j9]Jiang Zhou, Yong Chen, Dong Dai, Yu Zhuang, Weiping Wang:
I/O characteristic discovery for storage system optimizations. J. Parallel Distributed Comput. 148: 1-13 (2021) - [j8]Dong Dai, Yong Chen, Dries Kimpe, Robert B. Ross:
Trigger-Based Incremental Data Processing with Unified Sync and Async Model. IEEE Trans. Cloud Comput. 9(1): 372-385 (2021) - [c40]Di Zhang, Dong Dai, Runzhou Han, Mai Zheng:
SentiLog: Anomaly Detecting on Parallel File Systems via Log-based Sentiment Analysis. HotStorage 2021: 86-93 - 2020
- [j7]Jiang Zhou, Yong Chen, Wei Xie, Dong Dai, Shuibing He, Weiping Wang:
PRS: A Pattern-Directed Replication Scheme for Heterogeneous Object-Based Storage. IEEE Trans. Computers 69(4): 591-605 (2020) - [c39]Abdullah Al Raqibul Islam, Dong Dai:
Understand the overheads of storage data structures on persistent memory. PPoPP 2020: 435-436 - [c38]Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao, Bing Xie:
RLScheduler: an automated HPC batch job scheduler using reinforcement learning. SC 2020: 31
2010 – 2019
- 2019
- [j6]Neda Tavakoli, Dong Dai, Yong Chen:
Client-side straggler-aware I/O scheduler for object-based parallel file systems. Parallel Comput. 82: 3-18 (2019) - [j5]Dong Dai, Forrest Sheng Bao, Jiang Zhou, Xuanhua Shi, Yong Chen:
Vectorizing disks blocks for efficient storage system via deep learning. Parallel Comput. 82: 75-90 (2019) - [j4]Dong Dai, Yong Chen, Philip H. Carns, John Jenkins, Wei Zhang, Robert B. Ross:
Managing Rich Metadata in High-Performance Computing Systems Using a Graph Model. IEEE Trans. Parallel Distributed Syst. 30(7): 1613-1627 (2019) - [c37]Li Ruan, Xiangrong Xu, Limin Xiao, Feng Yuan, Yin Li, Dong Dai:
A Comparative Study of Large-Scale Cluster Workload Traces via Multiview Analysis. HPCC/SmartCity/DSS 2019: 397-404 - [c36]Youbiao He, Dong Dai, Forrest Sheng Bao:
Modeling HPC Storage Performance Using Long Short-Term Memory Networks. HPCC/SmartCity/DSS 2019: 1107-1114 - [c35]Dong Dai, Om Rameshwar Gatla, Mai Zheng:
A Performance Study of Lustre File System Checker: Bottlenecks and Potentials. MSST 2019: 7-13 - [i4]Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao:
RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning. CoRR abs/1910.08925 (2019) - 2018
- [c34]Jiang Zhou, Dong Dai, Yu Mao, Xin Chen, Yu Zhuang, Yong Chen:
I/O Characteristics Discovery in Cloud Storage Systems. IEEE CLOUD 2018: 170-177 - [c33]Wei Zhang, Yong Chen, Dong Dai:
AKIN: A Streaming Graph Partitioning Algorithm for Distributed Graph Storage Systems. CCGrid 2018: 183-192 - [c32]Jinrui Cao, Om Rameshwar Gatla, Mai Zheng, Dong Dai, Vidya Eswarappa, Yan Mu, Yong Chen:
PFault: A General Framework for Analyzing the Reliability of High-Performance Parallel File Systems. ICS 2018: 1-11 - [c31]Wenke Li, Xuanhua Shi, Hong Huang, Peng Zhao, Hai Jin, Dong Dai, Yong Chen:
GRAM: A GPU-Based Property Graph Traversal and Query for HPC Rich Metadata Management. NPC 2018: 77-89 - [i3]Neda Tavakoli, Dong Dai, Yong Chen:
Client-side Straggler-Aware I/O Scheduler for Object-based Parallel File Systems. CoRR abs/1805.06156 (2018) - [i2]Neda Tavakoli, Dong Dai, John Jenkins, Philip H. Carns, Robert B. Ross, Yong Chen:
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems. CoRR abs/1805.06161 (2018) - [i1]Dong Dai, Robert B. Ross, Dounia Khaldi, Yonghong Yan, Matthieu Dorier, Neda Tavakoli, Yong Chen:
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge. CoRR abs/1805.06167 (2018) - 2017
- [j3]Chao Wang, Dong Dai, Xi Li, Aili Wang, Xuehai Zhou:
SuperMIC: Analyzing Large Biological Datasets in Bioinformatics with Maximal Information Coefficient. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 783-795 (2017) - [c30]Dong Dai, Yong Chen, Philip H. Carns, John Jenkins, Robert B. Ross:
Lightweight Provenance Service for High-Performance Computing. PACT 2017: 117-129 - [c29]Jiang Zhou, Wei Xie, Dong Dai, Yong Chen:
Pattern-Directed Replication Scheme for Heterogeneous Object-based Storage. CCGrid 2017: 645-648 - [c28]Dong Dai, Wei Zhang, Yong Chen:
IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases. HPDC 2017: 219-230 - [c27]Dong Dai, Wei Zhang, Yong Chen:
POSTER: IOGP: An Incremental Online Graph Partitioning for Large-Scale Distributed Graph Databases. PPoPP 2017: 439-440 - [c26]Alan Sill, Yong Chen, Jon R. Hass, Dong Dai, Jerry Perez:
DAAC Workshop Chairs' Welcome. UCC (Companion") 2017: 77-78 - 2016
- [j2]Dong Dai, Philip H. Carns, Robert B. Ross, John Jenkins, Nicholas Muirhead, Yong Chen:
An asynchronous traversal engine for graph-based rich metadata management. Parallel Comput. 58: 140-156 (2016) - [j1]Gangyong Jia, Liang Shi, Xi Li, Dong Dai:
PUMA: From Simultaneous to Parallel for Shared Memory System in Multi-core. J. Signal Process. Syst. 84(1): 139-150 (2016) - [c25]Dong Dai, Yong Chen, Philip H. Carns, John Jenkins, Wei Zhang, Robert B. Ross:
GraphMeta: A Graph-Based Engine for Managing Large-Scale HPC Rich Metadata. CLUSTER 2016: 298-307 - [c24]Neda Tavakoli, Dong Dai, Yong Chen:
Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing. ICPP Workshops 2016: 181-189 - [c23]Dong Dai, Forrest Sheng Bao, Jiang Zhou, Yong Chen:
Block2Vec: A Deep Learning Strategy on Mining Block Correlations in Storage Systems. ICPP Workshops 2016: 230-239 - [c22]Jinrui Cao, Simeng Wang, Dong Dai, Mai Zheng, Yong Chen:
A Generic Framework for Testing Parallel File Systems. PDSW-DISCS@SC 2016: 49-54 - 2015
- [c21]Dong Dai, Philip H. Carns, Robert B. Ross, John Jenkins, Kyle Blauer, Yong Chen:
GraphTrek: Asynchronous Graph Traversal for Property Graph-Based Metadata Management. CLUSTER 2015: 284-293 - 2014
- [c20]Dong Dai, Yong Chen, Dries Kimpe, Robert B. Ross:
Provenance-based object storage prediction scheme for scientific big data applications. IEEE BigData 2014: 271-280 - [c19]Dong Dai, Yong Chen, Dries Kimpe, Robert B. Ross:
Provenance-Based Prediction Scheme for Object Storage System in HPC. CCGRID 2014: 550-551 - [c18]Dong Dai, Yong Chen, Dries Kimpe, Robert B. Ross, Xuehai Zhou:
Domino: an incremental computing framework in cloud with eventual synchronization. HPDC 2014: 291-294 - [c17]Gangyong Jia, Youwei Yuan, Jian Wan, Congfeng Jiang, Xi Li, Dong Dai:
Temperature-Aware Scheduling Based on Dynamic Time-Slice Scaling. ICA3PP (1) 2014: 310-322 - [c16]Mingming Sun, Xuehai Zhou, Feng Yang, Kun Lu, Dong Dai:
Bwasw-Cloud: Efficient sequence alignment algorithm for two big data with MapReduce. ICADIWT 2014: 213-218 - [c15]Changlong Li, Hang Zhuang, Kun Lu, Mingming Sun, Jinhong Zhou, Dong Dai, Xuehai Zhou:
An Adaptive Auto-configuration Tool for Hadoop. ICECCS 2014: 69-72 - [c14]Gangyong Jia, Guangjie Han, Liang Shi, Jian Wan, Dong Dai:
Combine thread with memory scheduling for maximizing performance in multi-core systems. ICPADS 2014: 298-305 - [c13]Changlong Li, Xuehai Zhou, Mingming Sun, Kun Lu, Jinhong Zhou, Hang Zhuang, Dong Dai:
DLBS: Decentralized load balancing scheme for event-driven cloud frameworks. ICPADS 2014: 853-858 - [c12]Gangyong Jia, Liang Shi, Jian Wan, Youwei Yuan, Xi Li, Dong Dai:
PUMA: Pseudo unified memory architecture for single-ISA heterogeneous multi-core systems. RTCSA 2014: 1-10 - [c11]Dong Dai, Robert B. Ross, Philip H. Carns, Dries Kimpe, Yong Chen:
Using property graphs for rich metadata management in HPC systems. PDSW@SC 2014: 7-12 - [c10]Dong Dai, Yong Chen, Dries Kimpe, Robert B. Ross:
Two-Choice Randomized Dynamic I/O Scheduler for Object Storage Systems. SC 2014: 635-646 - [c9]Kun Lu, Dong Dai, Xuehai Zhou, Mingming Sun, Changlong Li, Hang Zhuang:
Unbinds data and tasks to improving the Hadoop performance. SNPD 2014: 1-6 - [c8]Gangyong Jia, Xi Li, Youwei Yuan, Jian Wan, Congfeng Jiang, Dong Dai:
PseudoNUMA for reducing memory interference in multi-core systems. SpringSim (HPS) 2014: 6 - 2013
- [c7]Kun Lu, Dong Dai, Mingming Sun:
HDFS+: Concurrent Writes Improvements for HDFS. CCGRID 2013: 182-183 - [c6]Gangyong Jia, Xi Li, Jian Wan, Chao Wang, Dong Dai:
Group Scheduling for Improving Both CPU and Memory Power Efficiency Simultaneously. HPCC/EUC 2013: 1814-1819 - [c5]Gangyong Jia, Xi Li, Jian Wan, Chao Wang, Dong Dai, Congfeng Jiang:
Coordinate Task and Memory Management for Improving Power Efficiency. ICA3PP (1) 2013: 267-278 - [c4]Dong Dai, Xi Li, Chao Wang, Junneng Zhang, Xuehai Zhou:
Detecting Associations in Large Dataset on MapReduce. TrustCom/ISPA/IUCC 2013: 1788-1794 - 2012
- [c3]Dong Dai, Xi Li, Chao Wang, Mingming Sun, Xuehai Zhou:
Sedna: A Memory Based Key-Value Storage System for Realtime Processing in Cloud. CLUSTER Workshops 2012: 48-56 - [c2]Chao Wang, Xi Li, Dong Dai, Gangyong Jia, Xuehai Zhou:
Phase Detection for Loop-Based Programs on Multicore Architectures. CLUSTER 2012: 584-587 - [c1]Dong Dai, Xi Li, Chao Wang, Xuehai Zhou:
Cloud Based Short Read Mapping Service. CLUSTER 2012: 601-604
Coauthor Index
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