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Refereed Conference Publications:

 

  1. Soklong Lim, Zaixin Lu, Bin Ren, Xuechen Zhang, “Enforcing Crash Consistency of Evolving Network Analytics in Non-Volatile Main Memory Systems”, In Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques (PACT’19), Seattle, WA, September 2019. (Acceptance Rate: 25%)
  2. Ian Kosen, Zhi Chen, and Xuechen Zhang. “Enabling QoS-Aware Processing of PMU Data on Unified Storage Infrastructure”, In Proceedings of the First IEEE International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA’19), College Station, Texas, USA, May 2019.
  3. Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, and Zhao Zhang, “Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks”, In Proceedings of the 27th International Conference on Computer Communications and Networks (ICCCN’18), Hangzhou, China, July 2018. (Acceptance Rate: 29.5%)
  4. Suman Karki, Bao Bguyen, and Xuechen Zhang, “QoS Support for Scientific Workflows using Software-Defined Storage Resource Enclaves”, 32th IEEE International Parallel & Distributed Processing Symposium (IPDPS’18), Vancouver, BC, Canada, May 2018. (Acceptance Rate: 24.5%)
  5. Fang Zheng, Bao Nguyen, and Xuechen Zhang, “Feature Guided In-Situ Indices Generation and Data Placement on Distributed Deep Memory Hierarchies”. The 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS’17), Shenzhen, China, December 2017. (Acceptance Rate: 29%)
  6. Bao Nguyen, Tan Hua, and Xuechen Zhang,  “Large-scale Adaptive Mesh Simulations Through Non-Volatile Byte-Addressable Memory”, ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC’17), Dever, CO, November 2017 (Acceptance Rate: 18.6%)
  7. Jian Huang, Michael R. Allen-Bond, Xuechen Zhang, “Semantic-Aware Checking for Finding Deep Bugs in Fast Path”, Proceedings of 22nd International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’17), Xi’an, China, April 2017. (Acceptance Rate: 17.4%)
  8. Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao and Stephen Ficklin, “Understanding Software Platforms for In-memory Scientific Data Analysis: A Case Study of the Spark System”. The 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS’16), Wuhan, China, December, 2016. (Acceptance Rate: 29%)
  9. Xuechen Zhang, Fang Zheng, Karsten Schwan, and Matthew Wolf, ”FlashStager: Improving the Performance of SSD-based Data Staging Systems via Write Redirection”. Short paper. IEEE International Conference on Cluster Computing (Cluster’16), Taipei, Taiwan, September 2016. (Acceptance Rate: 34%)
  10. Jian Huang, Xuechen Zhang, and Karsten Schwan, “Understanding Issue Correlations: A Case Study of the Hadoop System”, The ACM Symposium on Cloud Computing 2015 (SOCC’15), Kohala Cost, HI, August 2015. (Acceptance Rate: 21%)
  11. Xuechen Zhang, Jianqiang Ou, Kei Davis, and Song Jiang, “Orthrus: A Framework for Implementing High-performance Collective I/O in the Multicore Clusters”,The International Supercomputing Conference (ISC’14), Leipzig, Germany, June 2014.
  12. Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky and Norbert Podhorszki, ”Flexpath: Type-Based Publish/Subscribe System for Large- scale Science Analytics”,the 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID’14), Chicago, IL, May 2014. (Acceptance Rate: 19%)
  13. Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stephane Ethier, and Scott Klasky, ”Scibox:Online Sharing of Scientific Data via the Cloud”, IEEE IPDPS, Tucson, AZ, May 2014. (Acceptance Rate: 21%)
  14. Dachuan Huang, Xuechen Zhang, Wei Shi, Mai Zheng, Song Jiang, and Feng Qin, ”LiU:Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout”, IEEE MASCOTS, San Francisco, CA, August 2013. (Acceptance Rate: 27%)
  15. Xuechen Zhang, Jianqiang Ou, Kei Davis, and Song Jiang, “Orthrus: A Framework for Implementing High- performance Collective I/O in the Multicore Clusters”, Short paper, ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’13), New York, June 2013. (Acceptance Rate: 26%)
  16. Xuechen Zhang, Ke Liu, Kei Davis, and Song Jiang, ”iBridge: Improving Unaligned Parallel File Access with Solid-State Drives”, IEEE IPDPS, Boston, MA, May 2013. (Acceptance Rate: 21%)
  17. Ke Liu, Xuechen Zhang, Kei Davis, and Song Jiang, ”Synergistic Coupling of SSD and Hard Disk for QoS-aware Virtual Memory”, IEEE ISPASS, Austin, TX, April 2013. (Best Paper Candidate)
  18. Ajay Gulati, Ganesha Shanmuganathan, Xuechen Zhang, and Peter Varman, ”Demand Based Hierarchical QoS Using Storage Resource Pools”, USENIX ATC, Boston, MA, June 2012. (Acceptance Rate: 17.8%)
  19. Xuechen Zhang, Kei Davis, and Song Jiang, ”iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O ”, IEEE IPDPS, Shanghai, China, May 2012. (Acceptance Rate: 21%)
  20. Xuechen Zhang, Kei Davis, and Song Jiang, ”Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services”, IEEE IPDPS, Shanghai, China, May 2012. (Acceptance Rate: 21%)
  21. Xuechen Zhang, Kei Davis, and Song Jiang, ”QoS Support for End Users of I/O-intensive Applications using Shared Storage Systems”, ACM/IEEE SC, Seattle, WA, November 2011. (Acceptance Rate: 21%)
  22. Xuechen Zhang, Yuehai Xu, and Song Jiang, ”YouChoose: A Performance Interface Enabling Convenient and Efficient QoS Support for Consolidated Storage Systems ”, IEEE MSST, Denver, Colorado, May 2011. (Best Student Paper)
  23. Xuechen Zhang, Kei Davis, and Song Jiang, ”IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination”, ACM/IEEE SC, New Orleans, LA, November 2010. (Acceptance Rate: 20%)
  24. Xuechen Zhang and Song Jiang, ”InterferenceRemoval: Removing Interference of Disk Access for MPI Programs through Data Replication”, ACM ICS, Tsukuba, Japan, June 2010. (Acceptance Rate: 17.8%)
  25. Lei Zhang, Guiquan Liu, Xuechen Zhang, and Song Jiang, ”Storage Device Performance Prediction with SBCART(Selective Bagging Classification and Regression Tree) Models”, IFIP NPC, Zhengzhou, China, September 2010. (Acceptance Rate: 27%)
  26. Xuechen Zhang, Guiquan Liu, and Song Jiang, ”Improve Throughput of Storage Cluster Interconnected with a TCP/IP Network Using Intelligent Server Grouping”, IFIP NPC, Zhengzhou, China, September 2010. (Best Paper Candidate)
  27. Xuechen Zhang, Kei Davis, and Song Jiang, ”Making Resonance a Common Case: A High-performance Im- plementation of Collective I/O on Parallel File Systems ”, IEEE IPDPS, Rome, Italy, May 2009. (Acceptance Rate: 21%)

Refereed Journal Articles:

 

  1. Soklong Lim, Tyler Coy, Zaixin Lu, Bin Ren, and Xuechen Zhang, “NVGRAPH: Enforcing Crash Consistency of Evolving Network Analytics in NVMM Systems”, IEEE Transactions on Parallel and Distributed Systems (TPDS). (Accepted)
  2. Shuibing He, Yanlong Yin, Xian-He Sun, Xuechen Zhang, Zongpeng Li, “Optimizing Parallel I/O Accesses through Pattern-Directed and Layout-Aware Replication”. IEEE Transactions on Computers, 2019. (Accepted)
  3. Ian Kosen, Can Huang, Zhi Chen, Xuechen Zhang, Emma Stewart, Liang Min, Dao Zhou, Lin Zhu, and Yilu Liu. “UPS: Unified PMU-Data Storage System to Enhance T+D PMU Data Usability”. IEEE Transactions on Smart Grid (TSG), 2019. (Accepted)
  4. Bao Nguyen, Hua Tan, Kei Davis, and Xuechen Zhang. “Persistent Octrees for Parallel Mesh Refinement Through Non-Volatile Byte-Addressable Memory”, IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 30, Issue 3, March 2019.
  5. Suman Karki, Bao Nguyen, Joshua Feener, Kei Davis, and Xuechen Zhang, “Enforcing End-to-end I/O Policies for Scientific Workflows using Software-Defined Storage Resource Enclaves”, IEEE Transactions on Multi-Scale Computing Systems (TMSCS), Volume 4, Issue 4, October-December 2018.
  6. Xuechen Zhang, Fang Zheng, Bao Nguyen. “DeStager: Feature Guided In-Situ Data Management in Distributed Deep Memory Hierarchies”, Special Issue on Scientific and Statistical Database Management, Journal of Distributed and Parallel Databases (DAPD), Springer. (DOI: 10.1007/s10619-018-7235-3)
  7. Xuechen Zhang, Song Jiang, Alseny Diallo, and Lei Wang, “IR+: Removing Parallel I/O Interference of MPI Programs through Data Replication on Heterogeneous Storage Devices”, Journal of Parallel Computing (ParCo), Elsevier, vol. 76, pages 91-105, 2018. (https://doi.org/10.1016/j.parco.2018.01.004)
  8. Xuechen Zhang, Ujjwal Khanal, Xinghui Zhao, and Stephen Ficklin, “Making Sense of Performance in In-memory Computing Frameworks for Scientific Data Analysis: A Case Study of the Spark System”, Special issue on In-memory Computing, Journal of Parallel and Distributed Computing (JPDC), Elsevier (https://doi.org/10.1016/j.jpdc.2017.10.016). 
  9. Kei Davis, Song Jiang, Xuechen Zhang, and Ke Liu, ”Making Memory Swapping Practicable: Synergistic Coupling of SSD and Hard Disk for QoS-Aware Virtual Memory”, ADTSC Science Highlights, Los Alamos, May 2012. LA-UR 13-20839.
  10. Kei Davis, Xuechen Zhang, Ke Liu, and Song Jiang, ”iBridge: Improving Unaligned Parallel File Access with Solid-State Drives”, ADTSC Science Highlights, Los Alamos, May 2012. LA-UR 13-20839.
  11. Kei Davis, Song Jiang, and Xuechen Zhang, ”iTransformer:Using SSD to Improve Disk Scheduling for High-performance I/O”, ADTSC Science Highlights, Los Alamos, May 2012. LA-UR 12-20429.
  12. Kei Davis, Song Jiang, and Xuechen Zhang, ”Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services”, ADTSC Science Highlights, Los Alamos, May 2012. LA-UR 12-20429.
  13. Xuechen Zhang, Yuehai Xu, and Song Jiang, ”YouChoose: Choosing your Storage Device as a Performance Interface to Consolidated I/O Service”, ACM Transactions on Storage, vol. 7, no. 3, article 8, October 2011.
  14. Song Jiang, Xuechen Zhang, Shuang Liang, and Kei Davis, ”Improving Networked File System Performance Using a Locality-Aware Cooperative Cache Protocol”, IEEE Transactions on Computers, vol. 59, no. 11, November 2010.

Refereed Workshop Publications:

 

  1. Tyler Coy and Xuechen Zhang, “Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems, In Proceedings of the 9th Workshop on Fault Tolerance for HPC at eXtreme Scale” (FTXS’19) in conjunction with the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’19).
  2. Bao Nguyen, Hua Tan, Xuechen Zhang, and Kei Davis, “Large-Scale Adaptive Mesh Simulations Through Non-Volatile Byte-Addressable Memory”, 10th Annual Non-Volatile Memories Workshop, San Diego, CA, March 2019.
  3. Xuechen Zhang, Hasan Abbasi, Kevin Huck, and Allen D. Malony, “WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows”, International Conference on Computational Science Workshop – Tools for Program Development and Analysis in Computational Science, San Diego, CA, June 2016.

Refereed Poster Papers:

 

  1. Tyler Coy and Xuechen Zhang,  “Enforcing Crash Consistency of Scientific Applications in Non-Volatile Main Memory Systems”, SC’19, Denver, CO, November 2017.
  2. Bao Nguyen, Tan Hua, and Xuechen Zhang,  “Large-scale Adaptive Mesh Simulations Through Non-Volatile Byte-Addressable Memory”, SC’17, Denver, CO, November 2017.
  3. Swann Perarnau, Rinku Gupta, Pete Beckman  with Xuechen Zhang and et al., “Argo: An Exascale Operating System and Runtime”, SC’15, Austin, TX, November 2015.
  4. Jian Huang, Xuechen Zhang, Karsten Schwan, ”Understanding Issue Correlations: A Case Study of the Hadoop System”, SOCC’15, Kohala Coast, HI, August 2015.
  5. Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stephane Ethier, and Scott Klasky, ”Scibox: Online Sharing of Scientific Data via the Cloud”, ACM/IEEE SC’13, Denver, Colorado, November 2013.
  6. Xuechen Zhang, Jianqiang Ou, Kei Davis, and Song Jiang, ”Orthrus: A Framework for Implementing High- performance Collective I/O in the Multicore Clusters”, ACM HPDC’13, New York, June 2013. (Acceptance Rate: 26%)
  7. Xuechen Zhang, Kei Davis, and Song Jiang, ”QoS Support for End Users of I/O-intensive Applications using Shared Storage Systems”, ACM/IEEE SC’11, Seattle, WA, November 2011.
  8. Xuechen Zhang, Ajay Gulati, and Ganesha Shanmuganathan, ”Storage Resource Pools with IO Reservation”, VMWorld, 2011.