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Xuechen Zhang 0001
Person information
- affiliation: Washington State University, Vancouver, WA, USA
- affiliation (2014 - 2015): University of Oregon, Eugene, OR, USA
- affiliation (2012 - 2014): Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (PhD 2012): Wayne State University, Detroit, MI, USA
Other persons with the same name
- Xuechen Zhang 0002 — University of California Riverside, CA, USA
- Xuechen Zhang 0003
— Hong Kong University of Science and Technology, Hong Kong (and 1 more)
- Xuechen Zhang 0004
- Xuechen Zhang 0005 — Ocean University of China, School of Mathematical Science, Qingdao, China
- Xuechen Zhang 0006 — Anhui Agricultural University, College of Engineering, Hefei, China
- Xuechen Zhang 0007 — University of Michigan, Ann Arbor, MI, USA
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2020 – today
- 2024
- [j13]Zhe Pan
AMBEA: Aggressive Maximal Biclique Enumeration in Large Bipartite Graph Computing. IEEE Trans. Computers 73(12): 2664-2677 (2024) - [c42]Keegan Sanchez, Alex Gavin, Suren Byna
A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory. Euro-Par (2) 2024: 182-195 - [c41]Zhenxin Li
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. EuroSys 2024: 441-455 - [c40]Tong Wu
AUTOHET: An Automated Heterogeneous ReRAM-Based Accelerator for DNN Inference. ICPP 2024: 1052-1061 - [c39]Zhe Pan, Shuibing He, Xu Li, Xuechen Zhang, Yanlong Yin, Rui Wang, Lidan Shou, Mingli Song, Xian-He Sun, Gang Chen:
Enumeration of Billions of Maximal Bicliques in Bipartite Graphs without Using GPUs. SC 2024: 100 - [i1]Weijian Chen, Shuibing He, Haoyang Qu, Xuechen Zhang:
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration. CoRR abs/2409.00657 (2024) - 2023
- [j12]Siling Yang
APQ: Automated DNN Pruning and Quantization for ReRAM-Based Accelerators. IEEE Trans. Parallel Distributed Syst. 34(9): 2498-2511 (2023) - [c38]Weijian Chen, Shuibing He, Yaowen Xu, Xuechen Zhang, Siling Yang, Shuang Hu, Xian-He Sun, Gang Chen:
iCache: An Importance-Sampling-Informed Cache for Accelerating I/O-Bound DNN Model Training. HPCA 2023: 220-232 - [c37]Zhe Pan
Efficient Maximal Biclique Enumeration on GPUs. SC 2023: 16:1-16:13 - 2022
- [j11]Ping Chen
Accelerating Tensor Swapping in GPUs With Self-Tuning Compression. IEEE Trans. Parallel Distributed Syst. 33(10): 4484-4498 (2022) - [c36]Zheng Dang
NVAlloc: rethinking heap metadata management in persistent memory allocators. ASPLOS 2022: 115-127 - [c35]Brian Koga, Theresa VanderWeide, Xinghui Zhao, Xuechen Zhang:
BlinkNet: Software-Defined Deep Learning Analytics with Bounded Resources. ICMLA 2022: 212-219 - [c34]Shuibing He, Matthew Myers, Xuehao Duan, Keegan Sanchez, Xuechen Zhang:
WAFLASH: Taming Unaligned Writes in Solid-State Disks. NAS 2022: 1-8 - [c33]Brandon Lavinsky, Xuechen Zhang:
PM-Rtree: A Highly-Efficient Crash-Consistent R-tree for Persistent Memory. SSDBM 2022: 4:1-4:11 - 2021
- [c32]Ping Chen
CSWAP: A Self-Tuning Compression Framework for Accelerating Tensor Swapping in GPUs. CLUSTER 2021: 271-282 - [c31]Siling Yang
AUTO-PRUNE: automated DNN pruning and mapping for ReRAM-based accelerator. ICS 2021: 304-315 - [c30]Yekang Wu, Xuechen Zhang:
NVSwap: Latency-Aware Paging using Non-Volatile Main Memory. NAS 2021: 1-9 - 2020
- [j10]Shuibing He
Optimizing Parallel I/O Accesses through Pattern-Directed and Layout-Aware Replication. IEEE Trans. Computers 69(2): 212-225 (2020) - [j9]Soklong Lim, Tyler Coy, Zaixin Lu
NVGraph: Enforcing Crash Consistency of Evolving Network Analytics in NVMM Systems. IEEE Trans. Parallel Distributed Syst. 31(6): 1255-1269 (2020) - [j8]Ian Kosen, Can Huang
UPS: Unified PMU-Data Storage System to Enhance T+D PMU Data Usability. IEEE Trans. Smart Grid 11(1): 739-748 (2020) - [c29]Tyler Coy, Shuibing He, Bin Ren, Xuechen Zhang:
Compiler aided checkpointing using crash-consistent data structures in NVMM systems. ICS 2020: 41:1-41:13
2010 – 2019
- 2019
- [j7]Xuechen Zhang
DeStager: feature guided in-situ data management in distributed deep memory hierarchies. Distributed Parallel Databases 37(1): 209-231 (2019) - [j6]Bao Nguyen
Persistent Octrees for Parallel Mesh Refinement through Non-Volatile Byte-Addressable Memory. IEEE Trans. Parallel Distributed Syst. 30(3): 677-691 (2019) - [c28]Soklong Lim, Zaixin Lu, Bin Ren, Xuechen Zhang:
Enforcing Crash Consistency of Evolving Network Analytics in Non-Volatile Main Memory Systems. PACT 2019: 124-137 - [c27]Tyler Coy, Xuechen Zhang:
Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems. FTXS@SC 2019: 11-20 - 2018
- [j5]Xuechen Zhang
Making sense of performance in in-memory computing frameworks for scientific data analysis: A case study of the spark system. J. Parallel Distributed Comput. 120: 369-382 (2018) - [j4]Xuechen Zhang
IR+: Removing parallel I/O interference of MPI programs via data replication over heterogeneous storage devices. Parallel Comput. 76: 91-105 (2018) - [j3]Suman Karki
Enforcing End-to-End I/O Policies for Scientific Workflows Using Software-Defined Storage Resource Enclaves. IEEE Trans. Multi Scale Comput. Syst. 4(4): 662-675 (2018) - [c26]Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, Zhao Zhang:
Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks. ICCCN 2018: 1-9 - [c25]Suman Karki, Bao Nguyen, Xuechen Zhang:
QoS Support for Scientific Workflows Using Software-Defined Storage Resource Enclaves. IPDPS 2018: 95-104 - 2017
- [c24]Jian Huang, Michael Allen-Bond, Xuechen Zhang:
Pallas: Semantic-Aware Checking for Finding Deep Bugs in Fast Path. ASPLOS 2017: 709-722 - [c23]Xuechen Zhang, Bao Nguyen, Fang Zheng:
Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies. ICPADS 2017: 258-265 - [c22]Bao Nguyen, Hua Tan, Xuechen Zhang:
Large-scale adaptive mesh simulations through non-volatile byte-addressable memory. SC 2017: 27 - 2016
- [c21]Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf:
FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. CLUSTER 2016: 312-315 - [c20]Xuechen Zhang, Hasan Abbasi, Kevin A. Huck
WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows. ICCS 2016: 1507-1518 - [c19]Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao
Understanding Software Platforms for In-Memory Scientific Data Analysis: A Case Study of the Spark System. ICPADS 2016: 1135-1144 - 2015
- [c18]Jian Huang, Xuechen Zhang, Karsten Schwan:
Understanding issue correlations: a case study of the Hadoop system. SoCC 2015: 2-15 - 2014
- [c17]Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki:
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. CCGRID 2014: 246-255 - [c16]Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stéphane Ethier, Scott Klasky:
Scibox: Online Sharing of Scientific Data via the Cloud. IPDPS 2014: 145-154 - [c15]Xuechen Zhang, Jianqiang Ou, Kei Davis
Orthrus: A Framework for Implementing Efficient Collective I/O in Multi-core Clusters. ISC 2014: 348-364 - 2013
- [c14]Xuechen Zhang, Jianqiang Ou, Kei Davis
Orthrus: a framework for implementing high-performance collective I/O in the multicore clusters. HPDC 2013: 113-114 - [c13]Xuechen Zhang, Ke Liu, Kei Davis
iBridge: Improving Unaligned Parallel File Access with Solid-State Drives. IPDPS 2013: 381-392 - [c12]Ke Liu, Xuechen Zhang, Kei Davis, Song Jiang:
Synergistic coupling of SSD and hard disk for QoS-aware virtual memory. ISPASS 2013: 24-33 - [c11]Dachuan Huang, Xuechen Zhang, Wei Shi
LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout. MASCOTS 2013: 111-120 - 2012
- [c10]Xuechen Zhang, Kei Davis
Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services. IPDPS 2012: 330-341 - [c9]Xuechen Zhang, Kei Davis
iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O. IPDPS 2012: 715-726 - [c8]Ajay Gulati, Ganesha Shanmuganathan, Xuechen Zhang, Peter J. Varman:
Demand Based Hierarchical QoS Using Storage Resource Pools. USENIX ATC 2012: 1-13 - 2011
- [j2]Xuechen Zhang, Yuehai Xu, Song Jiang:
YouChoose: Choosing your Storage Device as a Performance Interface to Consolidated I/O Service. ACM Trans. Storage 7(3): 9:1-9:18 (2011) - [c7]Xuechen Zhang, Yuehai Xu, Song Jiang:
YouChoose: A performance interface enabling convenient and efficient QoS support for consolidated storage systems. MSST 2011: 1-12 - [c6]Xuechen Zhang, Kei Davis, Song Jiang:
QoS support for end users of I/O-intensive applications using shared storage systems. SC 2011: 18:1-18:12 - 2010
- [j1]Song Jiang, Xuechen Zhang, Shuang Liang, Kei Davis
Improving Networked File System Performance Using a Locality-Aware Cooperative Cache Protocol. IEEE Trans. Computers 59(11): 1508-1519 (2010) - [c5]Xuechen Zhang, Song Jiang:
InterferenceRemoval: removing interference of disk access for MPI programs through data replication. ICS 2010: 223-232 - [c4]Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen:
Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. NPC 2010: 121-133 - [c3]Xuechen Zhang, Guiquan Liu, Song Jiang:
Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping. NPC 2010: 373-389 - [c2]Xuechen Zhang, Kei Davis
IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination. SC 2010: 1-11
2000 – 2009
- 2009
- [c1]Xuechen Zhang, Song Jiang, Kei Davis
Making resonance a common case: A high-performance implementation of collective I/O on parallel file systems. IPDPS 2009: 1-12
Coauthor Index
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last updated on 2024-12-23 19:34 CET by the dblp team
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