Curriculum Vitae

Weikuan Yu

January 24, 2025

General Information

University address:	Computer Science (COMP_SCI)
Arts and Sciences
206 Bldg. LOV
Florida State University
Tallahassee, FL 32306-4530
Phone: 850-644-5442; Fax: 850-644-0058

E-mail address:	wyu3@fsu.edu
	yuw@cs.fsu.edu

Web site:	http://www.cs.fsu.edu/~yuw/

Professional Preparation

2006	Ph.D., The Ohio State University, Columbus, OH, USA. Major: Computer Science. Systems. Supervisor: D.K. Panda. N/A. 

Weikuan Yu. (2006). Enhancing MPI with Modern Networking Mechanisms in Cluster Interconnects. Unpublished doctoral dissertation, The Ohio State University, Columbus, OH, USA. 

2001	Master, Ohio State University. Major: Neurobiology. Supervisor: Paul D. Henion. 

1998	Master, Chinese Academy of Sciences. Major: Molecular and Cellular Biology. Molecular Biology. Supervisor: Shen, Qingxiang. NA. 

Yu, Weikuan. (1998). Bio-synthesis of A Single Peptide Chain Containing Human Chorionic Gonadotropin-Beta (HCG-β) and C3d Complement Factor. (Master's thesis, Chinese Academy of Sciences). Retrieved from N.A., N.A., NA.. 

1995	Bachelor, Wuhan University, China. Major: Genetics. 

Professional Experience

2023–present	Department Chair, Computer Science, Florida State University, Computer Science Department. Department Services for Operation, Accounting, Academics and Research.

2017–present	Professor, Computer Science, Florida State University. Teaching, Research, Service and Outreach.

2022–2023	Associate Chair for Research, Computer Science, Florida State University, Computer Science Department. Department Services for Academics and Research.

2015–2017	Associate Professor, Computer Science, Florida State University. Teaching, Research, Service and Outreach.

2015	Adjunct Associate Professor, Electrical and Computer Engineering, Auburn University. Research.

2014–2015	Adjunct Associate Professor, Biology, Auburn University. Research.

2013–2015	Associate Professor, Computer Science and Software Engineering, Auburn University. Teaching, Research and Service.

2009–2013	Assistant Professor, Computer Science and Software Engineering, Auburn University. Teaching, Research and Service.

2008–2009	Adjunct Assistant Professor, Computer Science, University of Tennessee Knoxville. Collaborative Research.

2006–2009	Research Staff Member, Computer Science and Mathematics Division, Oak Ridge National Laboratory. Research and Development of High Performance Systems and Programming models.

Language Proficiency

Chinese - native in speaking, reading, and writing.
English - fluent in speaking, reading, and writing.

Honors, Awards, and Prizes

Facuty Research Award, Florida State University, Compute Science Department (2023). ($0). 
Mainline Information Systems Endowed Professorship, Florida State University, Compute Science Department (2021). ($3,000). 
Excellent Editorial Service Award, IEEE Transactions on Parallel and Distributed Systems, Editorial Board (2020). ($0). 
Alabama Innovation Award, Department of Commerce (2012). ($68,797). 
Mentor, First Prize of ACM Grand Finals in Graduate Student Research Competition, ACM (2012). 
Graduate Advisor of Xinyu Que, a Winner of the George Michael HPC Fellowship, the 2011 ACM/IEEE Conference for Supercomputing (SC'11) (2011). 
Keynote Talk on "Enabling Big Data Analytics in the Cloud with Hadoop Acceleration", HPC Advisory Council Workshop, Held in conjunction with HPC China 2011 (2011). 
Graduate Advisor of Yuan Tian, the First Prize winner of student research competition, The 2011 ACM International Conference for Supercomputing (ICS'11) (2011). 
Outstanding Research Contribution to Hadoop Acceleration, Mellanox (2011). 
Mentor of Patrick Carpenter, an Awardee of Auburn Undergraduate Research Fellowship, Auburn University (2009). 
Outstanding Research Award in Computer Science and Engineering, The Ohio State University, Computer Science and Engineering Department (2005). 

Current Membership in Professional Organizations

Life Member, ACM 
Senior Member, IEEE 

Teaching

Teaching directly delivers broader impacts to the society by educating the younger generation. Having taught both undergraduate- and graduate-level courses on operating systems and parallel and distributed computing, I consider teaching as a duty and privilege with three important objectives, (1) to accomplish an in-depth understanding of systems concepts through inquisitive learning, (2) to develop hands-on problem solving and programming skills through experiential learning, and (3) to engage students and forge rapport in the class for interactive and collaborative learning. 

Courses Taught

DATA ANALYSIS AND OPTIMAZATION (CIS5900)
Directed Individual Study (CIS6900)
Special Topics in Computer Science (CIS4930)
Colloquium (CIS5920)
Data Structures, Algorithms, and Generic Programming (COP4530)
Special Topics on Big Data Management and Analytics (CIS 5930)
Advanced Operating Systems (COP5611)
Object-Oriented Programming with Data Structures (CGS5425)
Advanced Topics in Computer Science (CIS6930)
Computer Architecture (CDA5155)
Computer Organization II (CDA3101)
Internship in Computer Science (CIS5949)
Directed Individual Study (CIS4900)
Introduction to Operating Systems (COP 4610)
Principles of Operating Systems (CGS5765)
Directed Individual Study (CIS5900)
KEY VALUE MEMORY AND STORAGE (CIS5900)
RESEARCH IN CLOUD COMPUTING (CIS5900)
Introduction to Operating Systems (COMP3500)
Directed Studies (COMP 7930)
Research and Dissertation (COMP 7990)
Topics in parallel computing (COMP 7330)
Directed Studies (COMP 7930)
Introduction to Operating Systems (COMP 3500)
Research and Dissertation (COMP 8990)
Computer Organization and Assembly Language Programming (COMP3350)
Directed Studies (COMP 7930)
Introduction to Operating Systems (COMP3500)
Research and Dissertation (COMP 8990)
Directed Studies (COMP 7930)
Introduction to Operating Systems (COMP 3500)
Directed Studies (COMP 8930)
Introduction to Operating Systems (COMP 3500)
Introduction to Operating Systems (COMP 3500)
Parallel/Distributed Computing (COMP 7330)
Advanced Parallel and Distributed Computing (COMP7330)
Design and Analysis of Computer Networks (COMP6320)
Special Topics in High Performance Computing (COMP7970)

New Course Development

Special topics on systems techniques for data analytics (2020)
Data Structures, Algorithms, and Generic Programming (2019)
Computer Organization II (2018)
Special Topics on Big Data Management and Analytics (2018)
Introduction to Operating Systems (2017)
Advanced Computer Architecture (2016)

Doctoral Committee Chair

Song, Y., graduate. (2025).
Chowdhury, F. T., graduate. (2023). CHARACTERIZATION AND OPTIMIZATION OF I/O SOFTWARE STACK IN COMPLEX APPLICATIONS AND WORKFLOWS. 
Khan, M. M., graduate. (2022). Tuning and Optimization of Resource Management for Data Analytics Applications. 
Zhu, Y., graduate. (2021). User-Level I/O Accelerations for High-Performance Deep Learning Applications. 
Fu, H., graduate. (2019). Enabling Efficient Big Data Services On HPC Systems With SHMEM-based Programming Stack. 
Wang, T., graduate. (2017).
Wang, B., graduate. (2015). Mitigating Memory Divergence of Graphics Processing Units.  [Bin Wang joined Pacific Northwest National Laboratory upon graduation]
Liu, Z., graduate. (2015). Efficient Storage Design and Query Scheduling for Improving Big Data Retrieval and Analytics.  [Zhuo Liu joined Yahoo]
Xu, C., graduate. (2015). Scalable Collective Communication and Data Transfer for High-Performance Computation and Data Analytics.  [Cong Xu joined Intel]
Wang, Y., graduate. (2014). Efficient Movement and Task Management in MapReduce for Fast Analytics of Big Data.  [Yandong Wang joined IBM upon graduation]
Que, X., graduate. (2013). Design and Implementation of Scalable and Efficient Programming Models for Fast Computation and Data Processing ﻿.  [Xinyu Que joined IBM upon graduation]
Tian, Y., graduate. (2012). Taming the Scientific Big Data with Flexible Organizations for Exascale Computing.  [Yuan Tian joined Oak Ridge National Laboratory upon graduation]
Ye, Z., doctoral candidate. 
Li, B., doctoral candidate. 
Wang, Y., doctoral candidate. 
Wang, Y., doctoral candidate. 
Bhattacharya, S., doctoral candidate. 
Qian, Y., doctoral student. 
Mamo, O., doctoral student. 
Choudhury, J., doctoral student. 
Rahman, M. S., doctoral student. 
Kogiou, O., doctoral student. 
Yi, H., doctoral student. 
Fang, X., doctoral student. 
Zhou, H., doctoral student. 
Alam, A., doctoral student. 
Dey, T., doctoral student. 
Jiao, B., doctoral student. 
Nath, A. K., doctoral student. 
Roy, R., doctoral student. 

Doctoral Committee Member

Wang, W., doctoral candidate. 
Bhowmik, S., doctoral candidate. 
Khan, R., doctoral candidate. 
Zhang, L., doctoral candidate. 

Doctoral Committee University Representative

Sun, Y., graduate. (2017). GLOBAL STABILITY ANALYSIS AND CONTROL OF COMPRESSIBLE FLOWS OVER RECTANGULAR CAVITIES.  [Department of ME, Advisor Sam Taira]
Han, C., graduate. (2015). Testing and Diagnosis of CMOS Open Defects. 
Xu, Y., graduate. (2015). Interference and Throughput Related Issues in Cellular/Cognitive Radio Networks. 
Yang, Q., graduate. (2013). Spatial and temporal variability of riverine fluxes to the North America East Coast in response to multiple global Changes. 
Kong, L., graduate. (2013). Spatial Spread Dynamics of Monostable Equations in Spatially Locally Inhomogeneous Media with Temporal Periodicity. 
Kabadurmus, O., graduate. (2013). Design of Resilient Heterogeneous Wireless Networks. 
Yu, H., graduate. (2011). Advanced Learning Algorithms of Neural Networks. 
Pan, Y., doctoral candidate.  [Department of Statistics, with Qing Mai and Xin Zhang]
Bartlett, D., doctoral student.  [Department of Biology with David Gilbert]
Brewer, J., doctoral student.  [Department of Biology with Jian Feng]

Master's Committee Chair

Roy, R., graduate. (2022). Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks. 
Kundnani, H., graduate. (2019). Exploiting NVM for Irregular Data Access. 
Pham, H., graduate. (2016). Assessment of Multiple Ingest Strategies for Accumulo Key-Value Store.  [Hai Pham joined CMU]
Pritchard, M., graduate. (2016). Analyzing the Effects of Sequencer Discrepancies on Next-Generation Genome Assembly Tools.  [Michael Pritchard joined Vanderbilt University]
Fu, H., graduate. (2015). Accelerate MapReduce's Failure Recovery through Timely Detection and Work-conserving Logging.  [Huansong Fu transitioned to Florida State University]
Shi, L., graduate. (2015). Feature Enhancement and Performance Evaluation of BioPig Analytics.  [Lizhen Shi transitioned to Florida State University]
Vasko, K., graduate. (2015). Analyzing the Benefits of Graphics Processing Units for Computation-Intensive Applications on Hadoop.  [Kevin Vasko joined Boeing at Huntsville, AL]
Zhou, F., graduate. (2015). Assessment of Multiple MapReduce Strategies for Fast Analytics of Small Files.  [Fang Zhou joined the Ohio State University]
Cira, C., graduate. (2014). Understanding Communication Characteristics of Scientific Applications on Extreme-Scale Systems.  [Cristian Cira joined KTH Royal Institute of Technology, Sweden]
Li, X., graduate. (2013). HadioFS: Improve the Performance of HDFS by Off-loading I/O to ADIOS.  [Xiaobing Li joined LogicMonitor Inc]
Carpenter, P., graduate. (2012). Design of a Hybrid Memory System for General Purpose Graphics Processing Units.  [Patrick Carpenter joined Amazon upon graduation]
Xu, C., graduate. (2012). TCP/IP Implementation of Hadoop Acceleration.  [Cong Xu continued for his doctoral degree at Auburn University]
Gandelman, student. 
Nguyen, M., student. 
Song, Y. Z., student. 

Master's Committee Member

Duckett, M., graduate. (2020).
Mock, D., graduate. (2019).
Lee, J., graduate. (2016). SDN for InfiniBand. 

Supervision of Student Research Not Related to Thesis or Dissertation

Kenny, O. (Jan 2020–present). 

Fernandes, J. (Jan 2018–present). 

Nethery, N. (Jan 2018–present). 

Wagner, W. (Oct 2016–present). 

De Sabatino, A. (Jan 2019–May 2020). 

Weathers, C. (Jan–Feb 2016). 

Garlitos, J. (2016). 

Leandre, K. (2016). 

Nieto, P. (2016). 

Research and Original Creative Work

Publications

Refereed Journal Articles

Prabakar, S., Chen, H., Jiang, Z., Yang, C., Yu, W., & Yan, D. (2024). LENS: label sparsity-tolerant adversarial learning on spatial deceptive reviews. GeoInformatica. GeoInformatica, 1-20. doi:10.1007/s10707-024-00529-5

Li, Z., Jiao, B., He, S., & Yu, W. (2022). PHAST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory. IEEE Transactions on Parallel and Distributed Systems, 33(12), 3929-3941. doi:10.1109/TPDS.2022.3173707

Fang, X., Klawohn, J., De Sabatino, A., Kundnani, H., Ryan, J., Yu, W., & Hajcak, G. (2022). Accurate classification of depression through optimized machine learning models on high-dimensional noisy data. Biomedical Signal Processing and Control, 71, 1032-37. Retrieved from https://www.sciencedirect.com/science/article/pii/S174680942100834X doi:https://doi.org/10.1016/j.bspc.2021.103237

Brinkman, A., Mohror, K., Yu, W., Carns, P., Cortes, T., Klasky, S., Miranda, A., Pfreundt, Franz-Josef, Ross, R., & Vef, Marc-Andre. (2020). Ad hoc File systems for HPC. Journal of Computer Science and Technology, 23.

Liu, Z., Nath, A. K., Ding, X., Fu, H., Khan, M. M., & Yu, W. (2019). Multivariate Modeling and Two-Level Scheduling of Analytic Queries Journal of Parallel Computing. Parallel Computing, 14.

Shi, L., Wang, Z., Yu, W., & Meng, X. (2017). A Case Study of Tuning MapReduce for Efficient Bioinformatics in the Cloud. Parallel Computing, 61, 83-95. doi:10.1016/j.parco.2016.1

Fu, H., Chen, H., Zhu, Y., & Yu, W. (2017). FARMS: Efficient MapReduce Speculation for Failure Recovery in Short Jobs. Parallel Computing, 61, 68-82. doi:10.1016/j.parco.2016.10.004

Liu, Z., Wang, B., & Yu, W. (2017). HALO: a fast and durable disk write cache using phase change memory. Cluster Computing, 1-13. doi:10.1007/s10586-017-1076-0

Wang, T., Vasko, K., Liu, Z., Chen, H., & Yu, W. (2016). Enhance parallel input/output with cross-bundle aggregation. International Journal of High Performance Computing Applications, 30(2), 241-256.

Xu, C., Goldstone, R., Liu, Z., Chen, H., Neitzel, B., & Yu, W. (2016). Exploiting Analytics Shipping with Virtualized MapReduce on HPC Backend Storage Servers. IEEE Trans. Parallel Distrib. Syst, 27(1), 185-196. Retrieved from http://doi.ieeecomputersociety.org/10.1109/TPDS.2015.2389262 doi:10.1109/TPDS.2015.2389262

Wang, T., Oral, S., Pritchard, M., Vasko, K., & Yu, W. (2015). Development of a Burst Buffer System for Data-Intensive Applications. CoRR, abs/1505.01765, 1-13. Retrieved from http://arxiv.org/abs/1505.01765

Wang, T., Vasko, K., Liu, Z., Chen, H., & Yu, W. (2015). Enhance parallel input/output with cross-bundle aggregation. International Journal of High Performance Computing Applications, 10, 1-15. Retrieved from http://hpc.sagepub.com/content/early/2015/12/02/1094342015618017.abstract doi:10.1177/1094342015618017

Yu, W., Wang, Y., Que, X., & Xu, C. (2015). Virtual Shuffling for Efficient Data Movement in MapReduce. IEEE Trans. Computers, 64(2), 556-568. Retrieved from http://dx.doi.org/10.1109/TC.2013.216 doi:10.1109/TC.2013.216

Yu, W., Wang, Y., & Que, X. (2014). Design and Evaluation of Network-Levitated Merge for Hadoop Acceleration. IEEE Trans. Parallel Distrib. Syst, 25(3), 602-611. doi:10.1109/TPDS.2013.59

Liu, Q., Logan, J., Tian, Y., Abbasi, H., Podhorszki, N., Choi, J. Y., Klasky, S., Tchoua, R., Lofstead, J. F., Oldfield, R., Parashar, M., Samatova, N. F., Schwan, K., Shoshani, A., Wolf, M., Wu, K., & Yu, W. (2014). Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurrency and Computation: Practice and Experience, 26(7), 1453-1473. doi:10.1002/cpe.3125

Tian, Y., Xu, C., Yu, W., Vetter, J. S., Klasky, S., Liu, H., & Biaz, S. (2014). neCODEC: nearline data compression for scientific applications. Cluster Computing, 17(2), 475-486. doi:10.1007/s10586-013-0265-8

Yu, W., Que, X., Tipparaju, V., & Vetter, J. S. (2012). HiCOO: Hierarchical cooperation for scalable communication in Global Address Space programming models on Cray XT systems. J. Parallel Distrib. Comput, 72(11), 1481-1492. Retrieved from http://dx.doi.org/10.1016/j.jpdc.2012.01.022 doi:10.1016/j.jpdc.2012.01.022

Tipparaju, V., Aprà, E., Yu, W., Que, X., & Vetter, J. S. (2012). Runtime Techniques to Enable a Highly-Scalable Global Address Space Model for Petascale Computing. International Journal of Parallel Programming, 40(6), 633-655. Retrieved from http://dx.doi.org/10.1007/s10766-012-0214-9 doi:10.1007/s10766-012-0214-9

Tian, Y., Yu, W., & Vetter, J. S. (2012). RXIO: Design and implementation of high performance RDMA-capable GridFTP. Computers & Electrical Engineering, 38(3), 772-784. Retrieved from http://dx.doi.org/10.1016/j.compeleceng.2011.11.008 doi:10.1016/j.compeleceng.2011.11.008

Yu, W., Que, X., Tipparaju, V., Graham, R. L., & Vetter, J. S. (2010). Cooperative server clustering for a scalable GAS model on petascale cray XT5 systems. Computer Science - R&D, 25(1-2), 57-64. Retrieved from http://dx.doi.org/10.1007/s00450-010-0104-6 doi:10.1007/s00450-010-0104-6

Yu, W., Sur, S., Panda, D. K., Aulwes, R. T., & Graham, R. L. (2005). High Performance Broadcast Support in La-Mpi Over Quadrics. IJHPCA, 19(4), 453-463. Retrieved from http://dx.doi.org/10.1177/1094342005056145 doi:10.1177/1094342005056145

Yu, W., Buntinas, D., Graham, R. L., & Panda, D. K. (2004). Efficient and Scalable Barrier over Quadrics and Myrinet with a New NIC-Based Collective Message Passing Protocol. CoRR, cs.DC/0402027, 1-12. Retrieved from http://arxiv.org/abs/cs.DC/0402027

Liu, J., Chandrasekaran, B., Yu, W., Wu, J., Buntinas, D., Kini, S. P., Panda, D. K., & Wyckoff, P. (2004). Microbenchmark Performance Comparison of High-Speed Cluster Interconnects. IEEE Micro, 24(1), 42-51. Retrieved from http://doi.ieeecomputersociety.org/10.1109/MM.2004.1268994 doi:10.1109/MM.2004.1268994

Li, Z., Jiao, B., He, S., & Yu, W. (2002). PHAST: Hierarchical Concurrent Log-Free Skip List for Persistent Memory IEEE Transactions on Parallel and Distributed Systems. IEEE Transactions on Parallel and Distributed Systems, 33, 3929–3941. doi:10.1109/TPDS.2022.3173707

Refereed Proceedings

Devarajan, H., Poottier, L., Velusamy, H., Zheng, H., Yildirim, I., Kogiou, O., Yu, W., Kougkas, A., Sun, X., Yeom, J., & Mohror, K. (2024). DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. In International Conference for High Performance Computing, Networking, Storage, and Analysis (pp. 1-24). IEEE/ACM. Retrieved from 10.1109/SC41406.2024.00023

Kogiou, O., Devarajan, H., Wang, C., Yu, W., & Mohror, K. (2024). Understanding Adaptable Storage for Diverse Workloads. In REX-IO Workshop. Held in conjunction with Cluster 2024 (pp. 96-103). IEEE/ACM. Retrieved from 10.1109/SC41406.2024.00023

Kogiou, O., Devarajan, H., Wang, C., Yu, W., & Mohror, K. (2023). I/O characterization and performance evaluation of large-scale storage architectures for heterogeneous workloads. In 2023 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops) (pp. 96-103). IEEE/ACM. Retrieved from 10.1109/CLUSTERWorkshops61457.2023.00017

Ismail Ataie, & Yu, W. (2022). SVAGC: Garbage Collection with a Scalable Virtual Address Swapping Technique. In IEEE International Conference on Cluster Computing (CLUSTER) (pp. 357-368). IEEE. 

Fahim Tahmid Chowdhury, Di Natale, F., Moody, A., Mohror, K., & Yu, W. (2022). DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems. In 2022 IEEE International Parallel and Distributed Processing Symposium (pp. 12). IEEE. 

Bhattacharya, S., Yu, W., Chowdhury, F. T., & Mohror, K. (2021). O (1) Communication for Distributed SGD through Two-Level Gradient Averaging. In 2021 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 332-343). IEEE. Retrieved from https://ieeexplore.ieee.org/abstract/document/9555961/

Khan, M. M., & Yu, W. (2021). ROBOTune: High-Dimensional Configuration Tuning for Cluster-Based Data Analytics. In 50th International Conference on Parallel Processing (pp. 1-10). IEEE. Retrieved from https://dl.acm.org/doi/abs/10.1145/3472456.3472518

Roy, R., Sato, K., Bhattachrya, S., Fang, X., Joti, Y., Hatsui, T., Hiraki, T. N., Guo, J., & Yu, W. (2021). Compression of Time Evolutionary Image Data through Predictive Deep Neural Networks. In 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp. 41-50). IEEE. Retrieved from https://ieeexplore.ieee.org/abstract/document/9499386/

Chowdhury, F., Di Natale, F., Moody, A., Gonsiorowski, E., Mohror, K., & Yu, W. (2020). Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems. In 2020 IEEE/ACM Fifth International Parallel Data Systems Workshop (PDSW) (pp. 34-39). IEEE. Retrieved from http://www.pdsw.org/pdsw20/papers/ws_pdsw_S3_P1_Chowdhury.pdf

Dey, T., Sato, K., Nicolae, B., Guo, J., Domke, J., Yu, W., Cappello, F., & Mohror, K. (2020). Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning. In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (pp. 1036-1043). IEEE. Retrieved from https://hal.archives-ouvertes.fr/hal-02914478/file/09150452.pdf

Brinkmann, A., Mohror, Yu, W., Carns, P., Cortes, T., Klasky, S., Miranda, Pfreundt, F., Ross, R., & Vef, M. (2020). Ad hoc File systems for HPC. In Sun, Xian-He and Yu, Weikuan (Ed.), Journal of Computer Science and Technology (pp. 4-26). Springer. 

Zhu, Y., Yu, W., Jiao, B., Mohror, K., Moody, A., & Chowdhury, F. (2019). Efficient User-Level Storage Disaggregation for Deep Learning. In Cluster Conference (pp. 10). Albuquerque, NM. IEEE. 

Chowdhury, F., Zhu, Y., Heer, T., Paredes, S., Moody, A., Goldstone, R., Mohror, K., & Yu, W. (2019). I/O Characterization and Performance Evaluation of BeeGFS for Deep Learning. In International Conference on Parallel Processing (pp. 10). Kyoto, Japan. IEEE. 

Khan, M., Alam, A., Nath, A., & Yu, W. (2019). Exploration of Memory Hybridization for RDD Caching in Spark. In The 2019 International Symposium on Memory Management (pp. 10). Phoenix, AZ. 

Bhattacharya, S., Salman, S., Gorentla Venkata, M., Kundnani, H., Imam, N., & Yu, W. (2018). An Initial Implementation of Libfabric Conduit for OpenSHMEM-X. In Fifth workshop on OpenSHMEM and Related Technologies(OpenSHMEM'18) (pp. 12). Baltimore, Maryland. 

Zhu, Y., Chowdhury, F., Fu, H., Moody, A., Mohror, K., Sato, K., & Yu, W. (2018). Entropy-Aware I/O Pipelining for Large-Scale Deep Learning on HPC Systems. In 26th International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (pp. 10). IEEE. 

Zhu, Y., Wang, T., Mohror, K., Moody, A., Sato, K., Khan, M. M., & Yu, W. (2018). Direct-FUSE: Removing the Middleman for High-Performance FUSE File System Support. In 8th International Workshop on Runtime and Operating Systems for Supercomputers (pp. 8). Tempe, AZ. 

Fu, H., Venkata, M. G., Salman, S., Imam, N., & Yu, W. (2018). SHMEMGraph: Efficient and Balanced Graph Processing Using One-sided Communication. In CCGrid 2018. Washington, DC. 

Fu, H., Gorentla Venkata, M., Roy Choudhury, A., Imam, N., & Yu, W. (2017). High-Performance Key-Value Store On OpenSHMEM. In Cluster, Cloud and Grid Computing (CCGrid), 2017 17th IEEE/ACM International Symposium on. Madrid, Spain. 

Wang, T., Moody, A., Zhu, Y., Mohror, K., Sato, K., Islam, T., & Yu, W. (2017). MetaKV: A Key-Value Store for Metadata Management of Distributed Burst Buffers. In Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International. Orlando, FL. 

Fu, H., Venkata, M. G., Imam, N., & Yu, W. (2017). Portable SHMEMCache: A High-Performance Key-Value Store on OpenSHMEM and MPI. In Workshop on OpenSHMEM and Related Technologies (pp. 114-129). Baltimore, MD. 

Wang, T., Mohror, K., Moody, A., Sato, K., & Yu, W. (2016). An ephemeral burst-buffer file system for scientific applications. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (pp. 69). Salt Lake City, Utah. IEEE/ACM. 

Fu, H., Pophale, S., Venkata, M. G., & Yu, W. (2016). DISP: Optimizations towards scalable MPI startup. In Proceedings of the First Workshop on Optimization of Communication in HPC (pp. 53-62). Salt Lake City, Utah. IEEE. 

Wang, B., Zhu, Y., & Yu, W. (2016). OAWS: Memory Occlusion Aware Warp Scheduling. In Proceedings of the 2016 International Conference on Parallel Architectures and Compilation (pp. 45-55). Salt Lake City, Utah. IEEE. 

Fu, H., SinghaRoy, K., Venkata, M. G., Zhu, Y., & Yu, W. (2016). SHMemCache: Enabling Memcached on the OpenSHMEM Global Address Model. In Workshop on OpenSHMEM and Related Technologies (pp. 131-145). Baltimore, MD. 

Fu, H., Zhu, Y., & Yu, W. (2015). A case study of MapReduce speculation for failure recovery. In Proceedings of the 2015 International Workshop on Data-Intensive Scalable Computing Systems, DISCS@SC 2015, Austin, Texas, USA, November 15, 2015 (pp. 7:1-7:8). IEEE. Retrieved from http://dx.doi.org/10.1145/2831244.2831245

Wang, Y., Fu, H., & Yu, W. (2015). Cracking Down MapReduce Failure Amplification through Analytics Logging and Migration. In 2015 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2015, Hyderabad, India, May 25-29, 2015 (pp. 261-270). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2015.111

Wang, B., Yu, W., Sun, Xian-He, & Wang, X. (2015). DaCache: Memory Divergence-Aware GPU Cache Management. In Proceedings of the 29th ACM on International Conference on Supercomputing, ICS'15, Newport Beach/Irvine, CA, USA, June 08 - 11, 2015 (pp. 89-98). ACM. Retrieved from http://dx.doi.org/10.1145/2751205.2751239

Wang, B., Liu, Z., Wang, X., & Yu, W. (2015). Eliminating intra-warp conflict misses in GPU. In Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, DATE 2015, Grenoble, France, March 9-13, 2015 (pp. 689-694). IEEE. Retrieved from http://dl.acm.org/citation.cfm?id=2755911

Shi, L., Wang, Z., Yu, W., & Meng, X. (2015). Performance evaluation and tuning of BioPig for genomic analysis. In Proceedings of the 2015 International Workshop on Data-Intensive Scalable Computing Systems, DISCS@SC 2015, Austin, Texas, USA, November 15, 2015 (pp. 9:1-9:7). IEEE. Retrieved from http://dx.doi.org/10.1145/2831244.2831252

Wang, X., Wang, B., Liu, Z., & Yu, W. (2015). Preserving Row Buffer Locality for PCM Wear-Leveling under Massive Parallelism. In 23rd IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2015, Atlanta, GA, USA, October 5-7, 2015 (pp. 198-207). IEEE. Retrieved from http://dx.doi.org/10.1109/MASCOTS.2015.39

Zhou, F., Pham, H., Yue, J., Zou, H., & Yu, W. (2015). SFMapReduce: An optimized MapReduce framework for Small Files. In 10th IEEE International Conference on Networking, Architecture and Storage, NAS 2015, Boston, MA, USA, August 6-7, 2015 (pp. 23-32). IEEE. Retrieved from http://dx.doi.org/10.1109/NAS.2015.7255218

Wang, T., Oral, S., Pritchard, M., Wang, B., & Yu, W. (2015). TRIO: Burst Buffer Based I/O Orchestration. In 2015 IEEE International Conference on Cluster Computing, CLUSTER 2015, Chicago, IL, USA, September 8-11, 2015 (pp. 194-203). IEEE. Retrieved from http://dx.doi.org/10.1109/CLUSTER.2015.38

Wang, T., Vasko, K., Liu, Z., Chen, H., & Yu, W. (2014). BPAR: a bundle-based parallel aggregation framework for decoupled I/O execution. In Proceedings of the 2014 International Workshop on Data Intensive Scalable Computing Systems, DISCS '14, New Orleans, Louisiana, USA, November 16-21, 2014 (pp. 25-32). IEEE. Retrieved from http://dx.doi.org/10.1109/DISCS.2014.6

Wang, T., Oral, S., Wang, Y., Settlemyer, B. W., Atchley, S., & Yu, W. (2014). BurstMem: A high-performance burst buffer system for scientific applications. In 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014 (pp. 71-79). IEEE. 

Wang, Y., Goldstone, R., Yu, W., & Wang, T. (2014). Characterization and Optimization of Memory-Resident MapReduce on HPC Systems. In 2014 IEEE 28th International Parallel and Distributed Processing Symposium, Phoenix, AZ, USA, May 19-23, 2014 (pp. 799-808). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2014.87

Tan, J., Wang, Y., Yu, W., & Zhang, L. (2014). Non-work-conserving effects in MapReduce: diffusion limit and criticality. In ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS '14, Austin, TX, USA - June 16 - 20, 2014 (pp. 181-192). ACM. Retrieved from http://dx.doi.org/10.1145/2591971.2592007

Liu, Z., Lofstead, J. F., Wang, T., & Yu, W. (2013). A case of system-wide power management for scientific applications. In 2013 IEEE International Conference on Cluster Computing, CLUSTER 2013, Indianapolis, IN, USA, September 23-27, 2013 (pp. 1-8). IEEE. Retrieved from http://dx.doi.org/10.1109/CLUSTER.2013.6702681

Tian, Y., Liu, Z., Klasky, S., Wang, B., Abbasi, H., Zhou, S., Podhorszki, N., Clune, T., Logan, J., & Yu, W. (2013). A lightweight I/O scheme to facilitate spatial and temporal queries of scientific data analytics. In IEEE 29th Symposium on Mass Storage Systems and Technologies, MSST 2013, May 6-10, 2013, Long Beach, CA, USA (pp. 1-10). IEEE. Retrieved from http://dx.doi.org/10.1109/MSST.2013.6558441

Wang, B., Jiao, Y., Yu, W., Shen, X., Li, D., & Vetter, J. S. (2013). A Versatile Performance and Energy Simulation Tool for Composite GPU Global Memory. In 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, San Francisco, CA, USA, August 14-16, 2013 (pp. 298-302). IEEE. Retrieved from http://dx.doi.org/10.1109/MASCOTS.2013.39

Li, X., Wang, Y., Jiao, Y., Xu, C., & Yu, W. (2013). CooMR: cross-task coordination for efficient data management in MapReduce programs. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC'13, Denver, CO, USA - November 17 - 21, 2013 (pp. 42:1-42:11). ACM. Retrieved from http://dx.doi.org/10.1145/2503210.2503276

Tian, Y., Klasky, S., Yu, W., Wang, B., Abbasi, H., Podhorszki, N., & Grout, R. W. (2013). DynaM: Dynamic Multiresolution Data Representation for Large-Scale Scientific Analysis. In IEEE Eighth International Conference on Networking, Architecture and Storage, NAS 2013, Xi'an, Shaanxi, China, July 17-19, 2013 (pp. 115-124). IEEE. Retrieved from http://dx.doi.org/10.1109/NAS.2013.21

Wang, B., Wu, B., Li, D., Shen, X., Yu, W., Jiao, Y., & Vetter, J. S. (2013). Exploring hybrid memory for GPU energy efficiency through software-hardware co-design. In Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, Edinburgh, United Kingdom, September 7-11, 2013 (pp. 93-102). IEEE. Retrieved from http://dx.doi.org/10.1109/PACT.2013.6618807

Wang, Y., Xu, C., Li, X., & Yu, W. (2013). JVM-Bypass for Efficient Hadoop Shuffling. In 27th IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2013, Cambridge, MA, USA, May 20-24, 2013 (pp. 569-578). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2013.13

Wang, B., & Yu, W. (2013). Performance and Power Simulation for Versatile GPGPU Global Memory. In 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, USA, May 20-24, 2013 (pp. 2254-2257). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPSW.2013.70

Wang, Y., Tan, J., Yu, W., Zhang, L., Meng, X., & Li, X. (2013). Preemptive ReduceTask Scheduling for Fair and Fast Job Completion. In 10th International Conference on Autonomic Computing, ICAC'13, San Jose, CA, USA, June 26-28, 2013 (pp. 279-289). IEEE. 

Liu, Z., Wang, B., Wang, T., Tian, Y., Xu, C., Wang, Y., Yu, W., Cruz, C. A., Zhou, S., Clune, T., & Klasky, S. (2013). Profiling and Improving I/O Performance of a Large-Scale Climate Scientific Application. In 22nd International Conference on Computer Communication and Networks, ICCCN 2013, Nassau, Bahamas, July 30 - Aug. 2, 2013 (pp. 1-7). IEEE. Retrieved from http://dx.doi.org/10.1109/ICCCN.2013.6614174

Xu, C., Venkata, M. G., Graham, R. L., Wang, Y., Liu, Z., & Yu, W. (2013). SLOAVx: Scalable LOgarithmic AlltoallV Algorithm for Hierarchical Multicore Systems. In 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013, Delft, Netherlands, May 13-16, 2013 (pp. 369-376). IEEE. Retrieved from http://dx.doi.org/10.1109/CCGrid.2013.22

Tian, Y., Klasky, S., Yu, W., Abbasi, H., Wang, B., Podhorszki, N., Grout, R. W., & Wolf, M. (2012). A system-aware optimized data organization for efficient scientific analytics. In The 21st International Symposium on High-Performance Parallel and Distributed Computing, HPDC'12, Delft, Netherlands - June 18 - 22, 2012 (pp. 125-126). IEEE. Retrieved from http://dx.doi.org/10.1145/2287076.2287095

Wang, Y., Jiao, Y., Xu, C., Li, X., Wang, T., Que, X., Cira, C., Wang, B., Liu, Z., Bailey, B., & Yu, W. (2012). Assessing the Performance Impact of High-Speed Interconnects on MapReduce. In Specifying Big Data Benchmarks - First Workshop, WBDB 2012, San Jose, CA, USA, May 8-9, 2012, and Second Workshop, WBDB 2012, Pune, India, December 17-18, 2012, Revised Selected Papers (pp. 148-163). IEEE. Retrieved from http://dx.doi.org/10.1007/978-3-642-53974-9_13

Li, D., Vetter, J. S., & Yu, W. (2012). Classifying soft error vulnerabilities in extreme-scale scientific applications using a binary instrumentation tool. In SC Conference on High Performance Computing Networking, Storage and Analysis, SC '12, Salt Lake City, UT, USA - November 11 - 15, 2012 (pp. 57). ACM. Retrieved from http://dx.doi.org/10.1109/SC.2012.29

Li, D., Vetter, J. S., Marin, G., McCurdy, C., Cira, C., Liu, Z., & Yu, W. (2012). Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications. In 26th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2012, Shanghai, China, May 21-25, 2012 (pp. 945-956). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2012.89

Liu, Z., Wang, B., Carpenter, P., Li, D., Vetter, J. S., & Yu, W. (2012). PCM-Based Durable Write Cache for Fast Disk I/O. In 20th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012, Washington, DC, USA, August 7-9, 2012 (pp. 451-458). IEEE. Retrieved from http://dx.doi.org/10.1109/MASCOTS.2012.57

Tian, Y., Klasky, S., Yu, W., Abbasi, H., Wang, B., Podhorszki, N., Grout, R. W., & Wolf, M. (2012). SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics. In 20th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, MASCOTS 2012, Washington, DC, USA, August 7-9, 2012 (pp. 181-188). IEEE. Retrieved from http://dx.doi.org/10.1109/MASCOTS.2012.30

Yu, W., Wu, K. J., Ku, Wei-Shinn, Xu, C., & Gao, J. (2011). BMF: Bitmapped Mass Fingerprinting for Fast Protein Identification. In 2011 IEEE International Conference on Cluster Computing (CLUSTER), Austin, TX, USA, September 26-30, 2011 (pp. 17-25). IEEE. Retrieved from http://dx.doi.org/10.1109/CLUSTER.2011.11

Tian, Y., Klasky, S., Abbasi, H., Lofstead, J. F., Grout, R. W., Podhorszki, N., Liu, Q., Wang, Y., & Yu, W. (2011). EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. In 2011 IEEE International Conference on Cluster Computing (CLUSTER), Austin, TX, USA, September 26-30, 2011 (pp. 93-102). IEEE. Retrieved from http://dx.doi.org/10.1109/CLUSTER.2011.18

Wang, Y., Que, X., Yu, W., Goldenberg, D., & Sehgal, D. (2011). Hadoop acceleration through network levitated merge. In Conference on High Performance Computing Networking, Storage and Analysis, SC 2011, Seattle, WA, USA, November 12-18, 2011 (pp. 57:1-57:10). IEEE. Retrieved from http://dx.doi.org/10.1145/2063384.2063461

Liu, Z., Zhou, J., Yu, W., Wu, F., Qin, X., & Xie, C. (2011). MIND: A black-box energy consumption model for disk arrays. In 2011 International Green Computing Conference and Workshops, IGCC 2012, Orlando, FL, USA, July 25-28, 2011 (pp. 1-6). IEEE. Retrieved from http://dx.doi.org/10.1109/IGCC.2011.6008571

Que, X., Yu, W., Tipparaju, V., Vetter, J. S., & Wang, B. (2011). Network-Friendly One-Sided Communication through Multinode Cooperation on Petascale Cray XT5 Systems. In 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011, Newport Beach, CA, USA, May 23-26, 2011 (pp. 352-361). IEEE. Retrieved from http://dx.doi.org/10.1109/CCGrid.2011.62

Yu, W., Tipparaju, V., Que, X., & Vetter, J. S. (2011). Virtual Topologies for Scalable Resource Management and Contention Attenuation in a Global Address Space Model on the Cray XT5. In International Conference on Parallel Processing, ICPP 2011, Taipei, Taiwan, September 13-16, 2011 (pp. 235-244). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPP.2011.38

Yu, W., Tian, Y., & Vetter, J. S. (2010). Efficient Zero-Copy Noncontiguous I/O for Globus on InfiniBand. In 39th International Conference on Parallel Processing, ICPP Workshops 2010, San Diego, California, USA, 13-16 September 2010 (pp. 362-368). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPPW.2010.56

Tipparaju, V., Aprà, E., Yu, W., & Vetter, J. S. (2010). Enabling a highly-scalable global address space model for petascale computing. In Proceedings of the 7th Conference on Computing Frontiers, 2010, Bertinoro, Italy, May 17-19, 2010 (pp. 207-216). IEEE. Retrieved from http://dx.doi.org/10.1145/1787275.1787326

Yu, W., & Vetter, J. S. (2010). Initial characterization of parallel NFS implementations. In 24th IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2010, Atlanta, Georgia, USA, 19-23 April 2010 - Workshop Proceedings (pp. 1-6). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPSW.2010.5470716

Yu, W., Drokin, O., & Vetter, J. S. (2009). Design, implementation, and evaluation of transparent pNFS on Lustre. In 23rd IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2009, Rome, Italy, May 23-29, 2009 (pp. 1-9). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2009.5160993

Alam, S. R., Barrett, R. F., Bast, M., Fahey, M. R., Kuehn, J. A., McCurdy, C., Rogers, J., Roth, P. C., Sankaran, R., Vetter, J. S., Worley, P. H., & Yu, W. (2008). Early evaluation of IBM BlueGene/P. In Proceedings of the ACM/IEEE Conference on High Performance Computing, SC 2008, November 15-21, 2008, Austin, Texas, USA (pp. 23). IEEE. Retrieved from http://dx.doi.org/10.1145/1413370.1413394

Yu, W., Oral, S., Canon, S., Vetter, J. S., & Sankaran, R. (2008). Empirical Analysis of a Large-Scale Hierarchical Storage System. In Euro-Par 2008 - Parallel Processing, 14th International Euro-Par Conference, Las Palmas de Gran Canaria, Spain, August 26-29, 2008, Proceedings (pp. 130-140). IEEE. Retrieved from http://dx.doi.org/10.1007/978-3-540-85451-7_15

Yu, W., Rao, N. S. V., & Vetter, J. S. (2008). Experimental Analysis of InfiniBand Transport Services on WAN. In Proceedings of The 2008 IEEE International Conference on Networking, Architecture, and Storage, NAS 2008, June 12-14, 2008, Chongqing, China (pp. 233-240). IEEE. Retrieved from http://dx.doi.org/10.1109/NAS.2008.65

Vetter, J. S., Tipparaju, V., Yu, W., & Roth, P. C. (2008). HPC Interconnection Networks: The Key to Exascale Computing. In High Speed and Large Scale Scientific Computing post-proceedings of the High Performance Computing Workshop, HPC 2008, Cetraro, Italy, June 30 - July 4, 2008] (pp. 95-106). IEEE. Retrieved from http://dx.doi.org/10.3233/978-1-60750-073-5-95

Yu, W., & Vetter, J. S. (2008). ParColl: Partitioned Collective I/O on the Cray XT. In 2008 International Conference on Parallel Processing, ICPP 2008, September 8-12, 2008, Portland, Oregon, USA (pp. 562-569). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPP.2008.76

Yu, W., Vetter, J. S., & Oral, S. (2008). Performance characterization and optimization of parallel I/O on the Cray XT. In 22nd IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, Miami, Florida USA, April 14-18, 2008 (pp. 1-11). IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2008.4536277

Rao, N. S. V., Yu, W., Wing, W. R., Poole, S. W., & Vetter, J. S. (2008). Wide-area performance profiling of 10GigE and InfiniBand technologies. In Proceedings of the ACM/IEEE Conference on High Performance Computing, SC 2008, November 15-21, 2008, Austin, Texas, USA (pp. 14). IEEE. Retrieved from http://dx.doi.org/10.1145/1413370.1413385

Yu, W., & Vetter, J. S. (2008). Xen-Based HPC: A Parallel I/O Perspective. In 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 19-22 May 2008, Lyon, France (pp. 154-161). IEEE. Retrieved from http://dx.doi.org/10.1109/CCGRID.2008.119

Yu, W., Vetter, J. S., Canon, S., & Jiang, S. (2007). Exploiting Lustre File Joining for Effective Collective IO. In Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil (pp. 267-274). IEEE. Retrieved from http://dx.doi.org/10.1109/CCGRID.2007.51

Chen, F., Jiang, S., Shi, W., & Yu, W. (2007). FlexFetch: A History-Aware Scheme for I/O Energy Saving in Mobile Computing. In 2007 International Conference on Parallel Processing (ICPP 2007), September 10-14, 2007, Xi-An, China (pp. 10). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPP.2007.43

Yu, W., Gao, Q., & Panda, D. K. (2006). Adaptive connection management for scalable MPI over InfiniBand. In 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), Proceedings, 25-29 April 2006, Rhodes Island, Greece. IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2006.1639338

Gao, Q., Yu, W., Huang, W., & Panda, D. K. (2006). Application-Transparent Checkpoint/Restart for MPI Programs over InfiniBand. In 2006 International Conference on Parallel Processing (ICPP 2006), 14-18 August 2006, Columbus, Ohio, USA (pp. 471-478). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPP.2006.26

Yu, W., Noronha, R., Liang, S., & Panda, D. K. (2006). Benefits of high speed interconnects to cluster file systems: a case study with Lustre. In 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), Proceedings, 25-29 April 2006, Rhodes Island, Greece. IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2006.1639564

Liang, S., Yu, W., & Panda, D. K. (2006). High Performance Block I/O for Global File System (GFS) with InfiniBand RDMA. In 2006 International Conference on Parallel Processing (ICPP 2006), 14-18 August 2006, Columbus, Ohio, USA (pp. 391-398). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPP.2006.47

Yu, W., Woodall, T. S., Graham, R. L., & Panda, D. K. (2005). Design and Implementation of Open MPI over Quadrics/Elan4. In 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), CD-ROM / Abstracts Proceedings, 4-8 April 2005, Denver, CO, USA. IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2005.163

Balaji, P., Feng, Wu-chun, Gao, Q., Noronha, R., Yu, W., & Panda, D. K. (2005). Head-to-TOE Evaluation of High-Performance Sockets over Protocol Offload Engines. In 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26 - 30, 2005, Boston, Massachusetts, USA (pp. 1-10). IEEE. Retrieved from http://dx.doi.org/10.1109/CLUSTR.2005.347068

Yu, W., Liang, S., & Panda, D. K. (2005). High performance support of parallel virtual file system (PVFS2) over Quadrics. In Proceedings of the 19th Annual International Conference on Supercomputing, ICS 2005, Cambridge, Massachusetts, USA, June 20-22, 2005 (pp. 323-331). Cambridge, MA. Retrieved from http://dx.doi.org/10.1145/1088149.1088192

Yu, W., Buntinas, D., Graham, R. L., & Panda, D. K. (2004). Efficient and Scalable Barrier over Quadrics and Myrinet with a New NIC-Based Collective Message Passing Protocol. In 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), CD-ROM / Abstracts Proceedings, 26-30 April 2004, Santa Fe, New Mexico, USA. IEEE. Retrieved from http://dx.doi.org/10.1109/IPDPS.2004.1303191

Yu, W., Wu, J., & Panda, D. K. (2004). Fast and Scalable Startup of MPI Programs in InfiniBand Clusters. In High Performance Computing - HiPC 2004, 11th International Conference, Bangalore, India, December 19-22, 2004, Proceedings (pp. 440-449). IEEE. Retrieved from http://dx.doi.org/10.1007/978-3-540-30474-6_47

Yu, W., Panda, D. K., & Buntinas, D. (2004). Scalable, high-performance NIC-based all-to-all broadcast over Myrinet/GM. In 2004 IEEE International Conference on Cluster Computing (CLUSTER 2004), September 20-23 2004, San Diego, California, USA (pp. 125-134). IEEE. Retrieved from http://dx.doi.org/10.1109/CLUSTR.2004.1392610

Yu, W., Buntinas, D., & Panda, D. K. (2003). High Performance and Reliable NIC-Based Multicast over Myrinet/GM-2. In 32nd International Conference on Parallel Processing (ICPP 2003), 6-9 October 2003, Kaohsiung, Taiwan (pp. 197-204). IEEE. Retrieved from http://dx.doi.org/10.1109/ICPP.2003.1240581

Liu, J., Chandrasekaran, B., Yu, W., Wu, J., Buntinas, D., Kini, S. P., Wyckoff, P., & Panda, D. K. (2003). Micro-benchmark level performance comparison of high-speed cluster interconnects. In Proceedings of the 11th Annual IEEE Symposium on High Performance Interconnects, HOTIC 2003, August 20-22, 2003, Stanford, CA, USA (pp. 60-65). IEEE. Retrieved from http://dx.doi.org/10.1109/CONECT.2003.1231479

Liu, J., Chandrasekaran, B., Wu, J., Jiang, W., Kini, S. P., Yu, W., Buntinas, D., Wyckoff, P., & Panda, D. K. (2003). Performance Comparison of MPI Implementations over InfiniBand, Myrinet and Quadrics. In Proceedings of the ACM/IEEE SC2003 Conference on High Performance Networking and Computing, 15-21 November 2003, Phoenix, AZ, USA, CD-Rom (pp. 58). IEEE. Retrieved from http://dx.doi.org/10.1145/1048935.1050208

Refereed Reports

Brinkmann, A., Mohror, K., & Yu, W. (2017). Challenges and Opportunities of User-Level File Systems for HPC (Dagstuhl Seminar 17202) (7(5): 97-139 (2017)). Dagstuhl Reports. 

Presentations

Invited Lectures and Readings of Original Work

Yu, W. (2023, June). Kickoff Presentation for IRES24. Delivered at Konkuk University, Seoul, South Korea. (International)

Yu, W. (2022, September). SVAGC: Garbage Collection with a Scalable Virtual Address  Swapping Technique. Delivered at IEEE Cluster, Heidelberg, Germany. (International)

Yu, W. (2019, May). Alternative Strategies for Efficient Burst  Buffers on HPC Systems. Delivered at Wuhan University, Wuhan, China. (International)

Yu, W. (2019, May). Cache and Memory Concert for Massive Parallelism. Delivered at Wuhan Textile Uiversity, Wuhan, China. (International)

Yu, W. (2018, September). Cache and Memory Concert for Massive Parallelism. Delivered at Argonne National Laboratory, Math and Computer Science Division, Argonne National Lab. (National)

Yu, W. (2016, March). Cache and Memory Concert for Massive Parallelism. Delivered at Oak Ridge National Lab, Future Technologies Group. (National) Retrieved from NA

Yu, W. (2015, October). Big Data Management and Systems Design. Delivered at Computer Science Department, LOVE 101. (Local) Retrieved from NA

Yu, W. (2015, October). Case Studies of Fast Analytics on Social Networks and Bioinformatics. Delivered at FSU Department of Statistics, 214 Duxbury Hall. (Local) Retrieved from http://calendar.fsu.edu/Lists/Department%20of%20Statistics/DispForm.aspx?ID=17

Yu, W. (2015, February). Big Data Management and Systems Design. Delivered at FSU Computer Science Department, Tallahassee, FL. (National) Retrieved from NA

Yu, W. (2014, December). Analytics Shipping with Virtualized MapReduce on HPC Backend Storage Servers. Delivered at Joint Genome Institute, Lawrence Berkeley National Laboratory. (National) Retrieved from NA

Yu, W. (2014, December). Big Data Analytics and Management Systems. Delivered at Emory University, Math and Computer Science Department. (National) Retrieved from NA

Yu, W. (2014, May). Coordinated Task Management and Scheduling for MapReduce. Delivered at George Washington University, Computer Science Department. (National) Retrieved from NA

Yu, W. (2014, May). Developing a High-Speed Campus-Wide Cyberinfrastructure at Auburn University. Delivered at National Science Foundation, DC. (National) Retrieved from NA

Yu, W. (2014, March). Coordinated Task Management and Scheduling for Efficient Analytics. Delivered at IBM, Yorktown Heights. (National) Retrieved from NA

Yu, W. (2014, March). Developing a High-Speed Campus-Wide Cyberinfrastructure at Auburn University. Delivered at Auburn University OVPR office, Research Week of Auburn University. (State) Retrieved from NA

Yu, W. (2014, February). Efficient Systems Design and Management for Big Data Processing. Delivered at University of Notre Dame, Computer Science Department. (National) Retrieved from NA

Yu, W. (2013, June). Efficient Data Movement and Task Management for Big Data Processing. Delivered at Beihang University, College of Computer Science. (International) Retrieved from NA

Yu, W. (2013, June). Efficient Data Movement and Task Management for Big Data Processing. Delivered at Wuhan University, School of Software Engineering. (International) Retrieved from NA

Yu, W. (2013, June). Efficient Data Movement and Task Management for Big Data Processing. Delivered at Shenzhen Advanced Institute of Research, Shenzhen, China. (International) Retrieved from NA

Yu, W. (2012, August). Scalable Merge Algorithms for Hadoop Acceleration. Delivered at University of Alabama, Tuscaloosa, Electrical and Computer Engineering Department. (State) Retrieved from NA

Yu, W. (2012, March). Big Data Challenges and Opportunities. Delivered at Georgia Tech, School of Computer Science. (National) Retrieved from NA

Yu, W. (2012, March). Efficient MapReduce through Efficient Shuffling Technologies. Delivered at IBM, Hawthorne, NY. (National) Retrieved from NA

Yu, W. (2011, November). Enabling Efficient I/O for NASA Climate Applications. Delivered at Goddard Space Flight Center, DC. (International) Retrieved from NA

Yu, W. (2011, October). 14. Hadoop Acceleration with Scalable Merging Algorithms. Delivered at Institute of Computing Technology, Beijing, China. (International) Retrieved from NA

Yu, W. (2011, October). 16. Hadoop Acceleration with Scalable Merging Algorithms. Delivered at Georgia Tech, 6th Open Cirrus Summit. (National) Retrieved from NA

Yu, W. (2011, October). Exploiting Non-Volatile Memory for Fast I/O of HPC applications. Delivered at University of Michigan, EECS Department. (National) Retrieved from NA

Yu, W. (2011, October). Hadoop Acceleration with Scalable Merging Algorithm. Delivered at Huazhong University of Science and Technology, Wuhan, China. (International) Retrieved from NA

Yu, W. (2011, May). 15. Hadoop Acceleration with Latest Networking Technologies. Delivered at IEEE Cluster Computing, Austin, Texas. (International) Retrieved from NA

Information and Communication Technology

Computer Software Development

Yu, W. (2011). UDA (Unstructured Data Accelerator) 2.0 and 3.0 [Computer software]. https://code.google.com/p/uda-plugin: Mellanox. Retrieved from http://www.mellanox.com/page/hadoop

Yu, W. (2010). ADIOS (Adaptable I/O Systems) [Computer software]. Oak Ridge National Laboratory. Retrieved from https://www.olcf.ornl.gov/2012/07/26/adios-middleware-update-sets-the-stage-for-exascale-computing/

Contracts and Grants

Contracts and Grants Funded

Yu, W. (Oct 2024–Sep 2027). Collaborative Research: OAC Core: CropDL - Scheduling and Checkpoint/Restart Support for Deep Learning Applications on HPC Clusters. Funded by National Science Foundation. Total award $225,000. 

Yu, W. (Sep 2024–Sep 2025). Efficient Checkpoint/Restart Support for Scientific Workflows. Funded by LLNL. Total award $94,961. 

Yu, W. (Jul 2024–Jun 2025). Travel: NSF Student Travel Grant for The 2024 IEEE International Conference on Cluster Computing (Cluster 2024). Funded by National Science Foundation. Total award $16,000. 

Wang, G., Yu, W., & Ozguven, E. (Jul 2024–Jun 2027). Collaborative Research: Frameworks: MobilityNet: A Trustworthy CI Emulation Tool for Cross-Domain Mobility Data Generation and Sharing towards Multidisciplinary Innovations. Funded by National Science Foundation. Total award $370,000. 

Yu, W., Gary, T., Duan, Z., & Mallory, X. (Jan 2024–Jan 2026). MagDepot: Tools for MagLab Data Repository, Interfacing, and Intelligence. Funded by Florida State University Office of Vice President for Research. Total award $397,607. 

Yu, W. (Aug 2023–Dec 2024). Analyzing and Optimizing I/O Performance of HPC Applications. Funded by LLNL. Total award $82,488. 

Yu, W., & Liu, X. (Sep 2021–Aug 2023). Data Management Support for Complex HPC Workflows (Former PI: Xiuwen Liu, due to Yu's Sabbatical leave). Funded by LLNL. Total award $74,814. 

Yu, W. (Aug 2021–Jul 2024). SaTC: CORE: Small: Realizing Enhanced Authentication in the Mobile Era (Former PI: Jie Yang). Funded by Google. Total award $325,000. 

Yu, W. (May 2020–Apr 2026). IRES Track-1: I/O Research for Data-intensive Analytics and Deep Learning. Funded by National Science Foundation. Total award $299,963. 

Yu, W. (Mar 2020–Apr 2021). User-level File systems for HPC Deep Learning with Device-Driven I/O and Communication. Funded by LLNL. Total award $74,000. 

Yu, W. (Mar 2020–Mar 2021). Data Management Support for HPC Workflows. Funded by LLNL. Total award $72,000. 

Yu, W. (Feb 2019–Jan 2020). File System Support for HPC Deep Learning Applications. Funded by LLNL. Total award $125,000. 

Yu, W. (Jan 2019–May 2025). REU support for  SHF: Medium: Collaborative Research: ECC: Ephemeral Coherence Cohort for I/O Containerization and Disaggregation. Funded by National Science Foundation. Total award $16,000. 

Yu, W., Yuan, X., & Whalley, D. (Aug 2018–Jul 2023). CRI: II-New: A Software Defined Infrastructure for Cross-Layer Research on Reconfigurable Architecture and Systems. Funded by NSF. Total award $700,000. 

Yu, W. (Jun 2018–May 2019). Exploiting Non-Volatile Memory Technologies for Irregular Applications. Funded by ORNL. Total award $100,000. 

Yu, W. (Jun 2018–May 2025). SHF: Medium: Collaborative Research: ECC: Ephemeral Coherence Cohort for I/O Containerization and Disaggregation. Funded by NSF. Total award $500,000. 

Yu, W. (May 2018–Apr 2024). Good Faculty Research Award (Former PI: Jie Yang). Funded by Google. Total award $52,024. 

Yu, W. (Nov 2017–Oct 2018). Extension: Enabling Memcached on OpenSHMEM for Big Data Analytics. Funded by Oak Ridge National Lab. Total award $120,000. 

Yu, W. (Oct 2017–Jan 2019). File System Support for HPC Applications. Funded by Lawrence Livermore National Lab. Total award $125,000. 

Yu, Weikuan (PI). (Aug 2017–Jul 2018). Eager: Collaborative Research: DiRecMR: Reconciling the Dichotomy of MapReduce for Efficient Speculation and Resilience. Funded by National Science Foundation. (1744336). Total award $80,043. 

Yu, W. (Oct 2016–Sep 2016). File System Support for Burst Buffers on HPC Systems. Funded by Lawrence Livermore National Lab. Total award $125,000. 

Yu, W. (Mar 2016–Oct 2017). Enabling Memcached on OpenSHMEM for Big Data Analytics. Funded by Oak Ridge National Lab. Total award $190,000. 

Yu, Weikuan (PI). (Sep 2015–Oct 2016). A Distributed File System for Burst Buffers on HPC Systems. Funded by Lawrence Livermore National Laboratory. (B615321). Total award $71,990. 

Yu, Weikuan (PI). (Aug 2015–Jul 2018). EAGER: Tadoop: A Dual-Purpose Framework Taming The Bipolarity Of Storage And Communication For High-Performance Computing And Data Analytics. Funded by National Science Foundation. (1561041). Total award $204,767. 

Yu, Weikuan (PI). (Aug 2015–Sep 2020). CSR: Small: Xoomr: Cross-Layer And Cross-Phase Cooperation For Fair And Efficient MapReduce. Funded by National Science Foundation. (1564647). Total award $378,692. 

Yu, W. (Jan 2015–Sep 2016). Large-Scale Image Processing In the Cloud. Funded by Army Research Lab. Total award $195,000. 

Yu, W. (Dec 2014–Jun 2015). Layout Enhancement for Lustre Dynamic Striping. Funded by Oak Ridge National Laboratory. Total award $107,561. 

Yu, W. (Aug 2014–Jul 2016). Tadoop: A Dual-Purpose Framework Taming the Bipolarity of Storage and Communication for High-Performance Computing and Data Analytics. Funded by National Science Foundation. Total award $298,106. 

Yu, W. (Feb 2014–Aug 2015). Large-Scale Image Processing In the Cloud. Funded by Army Research Lab. Funded by Army Research Lab. Total award $50,000. 

Yu, W. (Jan 2014–Sep 2016). REU Supplement for NSF Award CNS-1320016. Funded by National Science Foundation. Total award $16,000. 

Yu, W., & Bailey, B. (Jan 2014–Dec 2015). CC-NIE Network Infrastructure: Enhancing Connectivity for Multidisciplinary Scientific Research and Education at Auburn University. Funded by National Science Foundation. Total award $494,760. 

Yu, W. (Oct 2013–Sep 2016). CSR:Small: XooMR: Cross-Layer and Cross-Phase Cooperation for Fair and Efficient MapReduce. Funded by National Science Foundation. Total award $475,000. 

Yu, W. (May 2013–Jul 2014). Efficient Integration of Hadoop and Lustre for Fast Data Analytics. Funded by Intel. Total award $30,000. 

Yu, W. (May 2013–Jul 2014). Efficient Integration of Hadoop and Lustre for Fast Data Analytics. Funded by Lawrence Livermore National Laboratory. Total award $30,000. 

Yu, W. (Feb 2013–May 2014). TigerCloud – a Campus Cloud at Auburn University for Multidisciplinary Research and Education on Scientific Big Data. Funded by Auburn University Office of Vice President of Research. Total award $225,000. 

Yu, W. (Feb 2013–Sep 2014). Analysis of Object-Storage Systems -- Burst Buffer Management for Extreme-Scale Applications. Funded by Oak Ridge National Laboratory. Total award $105,000. 

Yu, W., & Chang, K. (Oct 2012–Sep 2013). Network Backplane for Fast Data Analysis. Funded by Alabama Department of Commerce. Total award $68,797. 

Yu, W. (Oct 2012–Sep 2013). Data Management in the Cloud Through Adaptable I/O Systems. Funded by Oak Ridge National Laboratory. Total award $45,000. 

Yu, W. (Aug 2011–May 2012). Hadoop Scalability Enhancements. Funded by Mellanox. Total award $60,000. 

Yu, W., & Tian, H. (Aug 2011–Jul 2014). An Elastic Parallel I/O Framework for Computational Climate Modeling. Funded by NASA. Total award $498,781. 

Yu, W. (Apr 2011–Mar 2015). II-New: A Computer and Storage Cluster for Multidisciplinary Research on Computer Systems and Scientific Simulations. Funded by National Science Foundation. Total award $399,467. 

Yu, W. (Feb 2011–Jan 2012). Efficient Data Processing and Analysis for Scientific Applications using Cloud Computing and Emerging Memory Technologies. Funded by Oak Ridge National Lab. Total award $60,000. 

Yu, W. (Aug 2010–Jul 2011). Efficient Data Analytics and Web Sessionization with Hadoop. Funded by Mellanox. Total award $90,000. 

Yu, W. (Aug 2010–Sep 2012). Data Format Optimization for Adaptable I/O Systems. Funded by Oak Ridge National Lab. Total award $90,000. 

Yu, W. (May 2010–Apr 2011). Operating System Concepts Made Easy and Fun Through Hands-on Experiences with Dedicated Hardware and Virtual Platforms. Funded by Auburn University Biggio Center. Total award $3,000. 

Yu, W. (Nov 2009–Jun 2011). Minimize System Noises for Petascale Scientific Applications. Funded by Oak Ridge National Lab. Total award $73,200. 

Yu, W. (Oct 2009–Sep 2011). Storage Efficient Accesses for Scientific Data Management. Funded by Oak Ridge National Lab. Total award $60,000. 

Qin, X., Yu, W., & Ku, Wei-shinn. (Sep 2009–Aug 2014). CSR:Small: Collaborative Research: FastStor: Data-Mining Based Multilayer Prefetching for Hybrid Storage Systems. Funded by National Science Foundation. Total award $248,000. 

Graham, R., & Yu, W. (Jul 2008–Jun 2011). Minimize System Noises for Petascale Scientific Applications. Funded by Department of Energy. Total award $1,350,000. 

Resource Grant

Yu, W. (2013, August). A grant of 118000. Analysis of Onload network processing engine vs. RDMA. Sponsored by SolarFlare. 

Yu, W. (2010, October–2011, May). A grant of 85200. Hadoop Acceleration. Sponsored by Mellanox. 

Yu, W. (2010, May). A grant of 5000. A donation of InfiniBand equipment from HPC Advisory Council. Sponsored by HPC Advisory Council. 

Contracts and Grants Pending

Liu, Guosheng (Co-PI), Chicken, Eric K (PI), Chen, Gang (Co-PI), & Yu, Weikuan (Co-PI). (Feb 2017). NRT-DESE: Graduate Training for Data-Enabled Research in Climate, Water and Environmental Sciences and Engineering. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Feb 2017). Burst Buffer Pipeline for Climate Modeling and Assimilation. Submitted to NASA. Unspecified award amount. 

Yu, W. (Jan 2017). SPX: Collaborative Research: Altruistic Capsule Sharing on Burst Buffers for Scalable Companion Computing. Submitted to National Science Foundation. Unspecified award amount. 

Contracts and Grants Denied

Liu, Guosheng (Co-PI), Chicken, Eric K (Co-PI), Chen, Gang (Co-PI), & Yu, Weikuan (PI). (Feb 2016). NRT-DESE: Graduate Training for Data-Enabled Research in Climate, Water and Environmental Sciences and Engineering. Submitted to National Science Foundation. Unspecified award amount. 

Yu, Weikuan (PI). (Nov 2015). SHF:Small:Divergence-Aware Cache And Memory Management For Effective Massive Parallelism. Submitted to National Science Foundation. Unspecified award amount. 

Yu, Weikuan (PI). (Sep 2015). SHF:CSR: Medium: Collaborative Research: Direcmr: Reconciling The Dichotomy Of Mapreduce For Efficiency And Fault Resilience. Submitted to National Science Foundation. Unspecified award amount. 

Yu, Weikuan (PI). (Jul 2015). Ashland: Globally Optimized Dynamic Resource Management for Distributed Scientific Workflows. Submitted to United States Department of Energy. Unspecified award amount. 

Yu, W., Fang, X., & Lee, Ming-kuo. (Feb 2015). CyberSEES: Type 1: Cloud-Based Sustainable and Real-Time Monitoring of Water Quality for Inland and Coastal Hydrologic Systems. Submitted to National Science Foundation. Unspecified award amount. 

Oral, S., & Yu, W. (Feb 2015). Collaborative Research: I/O Benchmarks for Capability Systems. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Jun 2014). NRT-DESE: TigerCAP: An Interdisciplinary Graduate Training Center for Computation, Data Science and Engineering: from Scientific Concepts, Algorithmic Models to Products. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Dec 2013). SHF:Small: Accelerating Data Analytics on Heterogeneous Networks. Submitted to National Science foundation. Unspecified award amount. 

Pindzola, M., & Yu, W. (Nov 2013). Computational Advances in Time-Dependent Close-Coupling Methods for Few Body Dynamics in Atoms. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Nov 2013). CSR:Medium:Collaborative Research: Bridging Massive Parallelism with Locality: A Vertical Perspective on Architecture and Programming Systems Support. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Feb 2013). MRI: Development of TigerLand - a High-Performance Network and Storage Platform for Multidisciplinary Research. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Feb 2013). Collaborative Research:XPS:CLCCA: PCUTS: Exploring Cross-Layer Synergies to Reconcile Memory with Massive Parallelism. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (May 2012). CC-NIE Network Infrastructure: Software Defined High-Speed Heterogeneous Network for Data-Driven Scientific Research. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (May 2012). CloudURE: A Cloud-Oriented Toolkit for Undergraduate Research and Education on Computer Systems and Networking. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Apr 2012). Collaborative Project: Improving Cybersecurity Education and Training Quality Through a Joint Center for Cloud Security at Auburn University and Auburn University Montgomery. Submitted to National Science Foundation. Unspecified award amount. 

Yu, W. (Dec 2011). CSR: Small: Collaborative Research: Enabling Efficient MapReduce on Heterogeneous Networks. Submitted to National Science Foundation. Unspecified award amount. 

Postdoctoral Supervision

Yue, J. (Oct 2014–Aug 2015). 

Chen, H. (Mar 2014–May 2015). 

Service

Florida State University

FSU University Service

Committee Member, FSU Research Infrastructure and Technology Taskforce (2020–present).

Committee Member, FSU Research Computing Advisory Council (2019–present).

FSU College Service

PTR Committee Member, Post-Tenure Review (2023–2024).

Science Area Representative, Tenure and Promotion Committee (2023–2024).

Executive Committee Member, The Center for Genomics and Personalized Medicine (CGPM) (2018–2019).

FSU Department Service

Department Chair, Administration (2023–present).

Associate Chair For Research, Research (2022–2023).

Chair, Faculty Recruiting Committee (2022–2023).

member, Faculty Evaluation Committee (2022–2023).

Chair, Faculty Recruiting Committee (2019–2020).

Member, Faculty Search Committee (2017–2018).

Member, Chair Search Committee (2016–2017).

Co-Chair, Graduate Admission Committee (2016–2017).

Member, Graduate Curriculum Committee (2016–2017).

member, Faculty Evaluation Committee (2015–2016).

Member, Graduation Admission Committee (2015–2016).

The Profession

Editor for Refereed Journals

Associate Editor, Journal of Computer Science and Technology (2022–2026).

Associate Editor, IEEE Transactions on Parallel and Distributed Systems (2018–2022).

Guest Editor for Special section on selected I/O technologies for HPC and data analytics, Journal of Computer Science and Technology (2019–2020).

Editorial Board Membership(s)

Spring Journal of Computer Science and Technology (2022–2026).

IEEE Transactions on Parallel and Distributed Systems (2018–2022).

Guest Reviewer for Refereed Journals

IEEE/ACM Transactions on Computational Biology and Bioinformatics (Jan 2016–present).

Parallel computing (2010–present).

Cluster Computing (2008–present).

Journal of Supercomputing (2008–present).

IEEE Transaction on Computers (Aug 2007–present).

IEEE Computer (Jan 2007–present).

IEEE Micro (Jan 2007–present).

IEEE Transactions on Parallel and Distributed Systems (Jan 2007–present).

Journal of Parallel and Distributed Computing (Jan 2007–present).

Chair of a Symposium

Yu, W. (Chair). (2023, May). IPDPS Workshop on Extreme-Scale Storage and Analysis. Symposium conducted at the meeting of IPDPS, St. Petersburg, Florida. 

Yu, W. (Chair). (2017, May). Challenges and Opportunities of User-Level File Systems for HPC (Dagstuhl Seminar 17202). Symposium conducted at the meeting of Dagstuhl workshop, Dagstuhl, Germany. 

Reviewer or Panelist for Grant Applications

Department of Energy (2023).

National Science Foundation (2020).

National Science Foundation (2019).

National Science Foundation (2019).

National Science Foundation (2018).

NASA (2017).

National Science Foundation (2015).

National Science Foundation (2015).

National Institutes of Health (2014).

Hong-Kong Research Grants Council (2014).

National Science Foundation (2014).

Research Council of Canada (2014).

National Science Foundation (2013).

National Science Foundation (2012).

National Science Foundation (2011).

Department of Energy (2010).

National Science Foundation - OCI (2010).

NIST (2009).

Service to Professional Associations

Student Funding Liaison, IEEE Cluster (2024–present).

TPC member, technical reviewer, CCGrid 2020-21 (2020–present).

TPC member, Technical reviewer, Cluster 2020-21 (2020–present).

TPC member, Technical reviewer, ICDCS 2020-21 (2020–present).

TPC member, Technical reviewer of papers, INFOCOM 2020-21 (2020–present).

TPC member, Technical paper reviewer, IPDPS 2020-21 (2020–present).

Steering Committee Member, Extreme Scale Storage And Analysis Workshop (2019–present).

PC Vice-Chair, Conference Organizer, IEEE NAS 2015 Conference (2015–present).

PC Vice Chair for Network Track, Conference organizer, ISPA 2011 Conference (2011–present).

Steering Committee Member, IEEE Cluster Conference (2024–2027).

PC Member, HPDC (2024–2025).

PC Member, ICDCS (2024–2025).

PC Member, PPoPP (2024–2025).

PC Member, INFOCOM (2024–2025).

PC Member, HPDC (2023–2024).

General Co-Chair, ESSA 2025 : 5th Workshop on Extreme-Scale Storage and Analysis (2023–2024).

PC Member, INFOCOM (2023–2024).

PC Member, HPDC (2022–2023).

PC Member, Cluster (2022–2023).

PC Member, INFOCOM (2022–2023).

PC Member, HPDC (2021–2022).

PC Member, Reviewer of technical papers to the main conference, InfoCom 2021-2022 (2021–2022).

PC Member, Reviewer of technical papers to the main conference, IPDPS 2021-2022 (2021–2022).

PC Member, Reviewer of technical papers to the main conference, CCGrid 2021 (2021).

PC Member, Reviewer of technical papers to the main conference, Cluster 2021 (2021).

PC Member, Reviewer of technical papers to the main conference, ICDCS 2020-2021 (2020–2021).

PC Member, Reviewer of technical papers to the main conference, Supercomputing 2021 (2020–2021).

PC Member, CCGrid 2020 (2019–2020).

PC Member, IPDPS 2020 (2019–2020).

PC Member, INFOCOM 2019 (2018–2019).

PC Member, Program Committee of CCGrid 2019 (2018–2019).

PC member, Big Data 2018 (2017–2018).

PC member, Cluster 2018 (2017–2018).

PC Member, Program Committee of CCGrid 2018 (2017–2018).

PC Member, Program Committee of INFOCOM 2018 (2017–2018).

Co-Chair, Dagstuhl Workshop on User-level File Systems (2017).

PC Member, Program Committee of BigData 2017 (2017).

PC Member, Program Committee of HPCC 2017 (2017).

PC Member, Cluster 2017 (2016–2017).

Member, Program Comittee for Cluster Computing 2017 (2016–2017).

PC Member, Program Committee of Supercomputing 2017 (2016–2017).

PC Member, SC'17 (2016–2017).

PC member, Paper review, CCGrid 2016 (2015–2016).

PC Co-Chair, Workshop organizer, DISCS Workshop (2014–2015).

PC member, Technical paper review, CCGrid (2014).

PC member, Technical paper view, ICCCN (2014).

PC Member, Technical paper review, CCGrid (2013).

Tutorial Committee, Tutorial review, SC'12 (2012).

Doctoral Showcase Committee, Review of Doctoral Research, SC'10 (2010).

Auburn University College of Engineering

Yu, W. (2012–2014). Fellowship Committee. Computer Science. 

Yu, W. (2012–2014). Graduate Committee. College of Engineering. 

Auburn University Computer Science Department

Yu, W. (2010–2015). E. Day Committee. Organizing Research Exhibitions. 

Yu, W. (2010–2015). Equipment Committee. Computer Science Department.