Weikuan Yu

Weikuan Yu @ Auburn University Associate Professor, Dept. of Computer Science and Software Engineering
Joint Associate Professor, Dept. of Electrical and Computer Engineering
Joint Associate Professor, Dept. of Biological Sciences
Office: 3101 Shelby Center, 345 W. Magnolia Ave.
Auburn University, AL 36849, USA
Telephone: +1 (334) 844-6330
Fax: +1 (334) 844-6329
Email: 1st_name dot last_name (AT) gmail
TigerMail: wkyu (AT) auburn

| About | Teaching | Research | Publications | Service | Group Website |

Office Hours

Spring 2015 : 1-2pm Mon/Wed.


Weikuan Yu is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University, where he also holds joint appointments in the Department of Electrical and Computer Engineering and the Department of Biological Sciences. Prior to joining Auburn University in 2009, he was a Research Staff Member at Oak Ridge National Lab for two and a half years. Yu has founded and currently directs the Parallel Architecture and System Laboratory (PASL), with broad research interests spanning structured and unstructured database systems, data mining and analytics of big data and social networks, parallel computer systems and architecture, high speed interconnects, cloud computing, computational biology and climate modeling, storage and I/O systems.
Dr. Yu has graduated many doctoral and master students who upon graduation joined prestigious organizations such as Oak Ridge National Laboratory, Yahoo, Intel, Boeing, IBM T.J. Watson Research Center, Amazon, and other industry positions. He is currently working with the PASL group of two postdoctoral researchers, 8 Ph.D. students and 3 master students. His group's research has been supported in part by NASA, DOE (ORNL and LLNL), NSF, Alabama Department of Commerce, Mellanox, Intel, NVIDIA, Scitor, and Auburn University, along with equipment donations from Mellanox, NVIDIA, and Solarflare. Yu's research won the 2012 Alabama Innovation Award and the First Prize of 2012 ACM Student Research Competition Grand Finals. Yu is a senior member of IEEE and member of ACM and USENIX.


Selected Recent Publications (* denotes my advisees)

  1. [MASCOTS'15]: X. Wang*, B. Wang*, Z. Liu*, W. Yu. Preserving Row Buffer Locality for PCM Wear-Leveling Under Massive Parallelism. 23rd International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems. October 2015, Atlanta, GA.
  2. [Cluster'15]: T. Wang*, H.S. Oral, H. Pritchard*, B. Wang* and W. Yu. TRIO: Burst Buffer Based I/O Orchestration. IEEE Cluster Conference, September 2015, Chicago, IL.
  3. [ICS'15]: B. Wang*, W. Yu, X.H. Sun, X. Wang. DaCache: Memory Divergence-Aware GPU Cache Management. 29th International Conference on Supercomputing, June 2015, Newport Beach, CA. To be presented.
  4. [TPDS]: C. Xu*, R. Goldstone, Z. Liu*, H. Chen*, B. Neitzel, W. Yu. Exploiting Analytics Shipping with Virtualized MapReduce on HPC Backend Storage Servers. IEEE Transactions on Parallel and Distributed Systems. Accepted.
  5. [IPDPS'15]: Y. Wang*, H. Fu*, and W. Yu. Cracking Down MapReduce Failure Amplification through Analytics Logging and Migration. 29th IEEE International Parallel and Distributed Processing Symposium (Acceptance rate: 22%). Hyderabad, India. May 2015.
  6. [DATE'15]: B. Wang*, Z. Liu*, X. Wang*, and W. Yu. Eliminating Intra-Warp Conflict Misses in GPU. The 18th Conference on Design Automation and Test in Europe. (Acceptance rate: 22.4%). Grenoble, Fr. March 2015.
  7. [BigData'14]: T. Wang*, S. Oral, Y. Wang*, B. Settlemyer, S. Atchley, and W. Yu. BurstMem: A High-Performance Burst Buffer System for Scientific Applications. 2014 IEEE Conference on Big Data (Acceptance rate: 18.5%). Washington, DC. October 2014.
  8. [Sigmetrics'14]: J. Tan, Y. Wang*, W. Yu, L. Zhang. Non-work-conserving effects in MapReduce: Diffusion Limit and Criticality. ACM SigMetrics 2014 (Acceptance rate: 17%). Austin, TX. June 2014.
  9. [IPDPS'14]: Y. Wang*, R. Goldstone, W. Yu, T. Wang*. Characterization and Optimization of Memory-Resident MapReduce on HPC Systems. 28th IEEE International Parallel and Distributed Processing Symposium (Acceptance rate: 21%). Tucson, AZ. May 2014.
  10. [TC'14]: W. Yu, Y. Wang*, X. Que*, C. Xu*. Virtual Shuffling for Efficient Data Movement in MapReduce. IEEE Transactions on Computers. Accepted.
  11. [SC'13]: X. Li*, Y. Wang*, Y. Jiao*, C. Xu*, W. Yu. CooMR: Cross-Task Coordination for Efficient Data Management in MapReduce Programs. Li and Wang contributed equally to the paper. International Conference for High performance Computing Networking, Storage and Analysis. Denver, CO. November 2013.
  12. [PACT'13]: B. Wang*, B. Wu, D. Li, X. Shen, W. Yu, Y. Jiao*, J. Vetter. Exploring Hybrid Memory for GPU Energy Efficiency through Software-Hardware Co-Design. International Conference on Parallel Architecture and Compiler Techniques. Edinburgh, Scotland. September 2013.
  13. [Cluster'13]: Z. Liu*, J. Lofstead, T. Wang*, W. Yu. A Case of System-Wide Power Management for Scientific Applications. IEEE International Conference on Cluster Computing. Indiannapolis, IN. September 2013.
  14. [ICAC'13]: Y. Wang*, J. Tan, W. Yu, L. Zhang, X. Meng. Preemptive ReduceTask Scheduling for Fair and Fast Job Completion. The USENIX International Conference on Autonomic Computing. San Jose, CA. June 2013.
  15. [MSST'13]: Y. Tian*, Z. Liu*, S. Klasky, B. Wang*, H. Abbasi, S. Zhou, N. Podhorszki, T. Clune, J. Logan and W. Yu. A Lightweight I/O Scheme to Facilitate Spatial and Temporal Queries of Scientific Data Analytics. IEEE Conference on Massive Storage Systems and Technologies. Long Beach, CA. May 2013.
  16. [TPDS'13]: W. Yu, Y. Wang* and X. Que*. Design and Evaluation of Network-Levitated Merge for Hadoop Acceleration. IEEE Transactions on Parallel and Distributed Systems. 2013. In Press.
  17. [IPDPS'13]: Y. Wang*, C. Xu*, X. Li* and W. Yu. JVM-Bypass for Efficient Hadoop Shuffling. IEEE International Parallel and Distributed Processing Symposium. May 2013. Boston, MA.
  18. [CCGrid'13]: C. Xu*, R. Graham, M. Venkata, Y. Wang*, Z. Liu*, and W. Yu. SLOAVx: Scalable LOgarithmic AlltoallV Algorithm for Hierarchical Multicore Systems. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. May 2013. Delft, Netherland.
  19. For more publications: Click here.

Group Members

Group Alumni

Selected Services

  1. Panelist: NIH 2014, NSF (2015, 2014, 2013, 2012, 2011, 2010), DOE ASCR 2011, NIST BTOP 2009.
  2. External Proposal Reviewer: Hong Kong RGC (2014), Canada NSERC (2014)
  3. PC Vice Chair: NAS 2015 Network Track.
  4. PC Co-Chair: 2014 International Workshop on Data-Intensive Scalable Computing Systems (DISCS-2014).
  5. PC Vice Chair: ISPA 2011 Middleware Track.
  6. Editorial Board of PDCN-Journal (2011-13).
  7. PC Member: ICPP (2007-08), NAS (2008, 2010), HiPC (2008-10), SMTPS'08, P2S2 (2008-11), HPI-DC 2009, ICPADS (2010-13), SC10 (Doctoral Showcase), IANA 2011; INFOCOMP 2011, IPCCC 2012-13, ScalCOM'12, MBDS'12, DISCS 2012-13, SC13 (BOF), ICCCN (2011, 2013, 2014), Big Data'13, CCGrid'13, CCGrid'14.
  8. Publicity Chair: Hot Interconnect (2007-08); SMTPS'08.
  9. Session Chair: ICPP (2008); IPDPS (2008); P2S2 2008.
  10. Technical Reviewers for major journals and conferences such as TPDS, TC, JPDC, SC, IPDPS, IEEE Micro, IEEE Computer, among many others.

Last Modified: August 18th, 2014