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Weiping He


I am currently a staff software engineer at Dell EMC. I was a PhD candidate at the University of Minnesota in the Department of Computer Science and Engineering. My advisor is Dr. David Hung Chang Du. I was working as a research assistant in Center for Research in Intelligent Storage. My research interests include parallel I/O, high performance storage system, workload characterization, and new storage media such as shingled magnetic recording (SMR) drives.




  • Teaching Assistant for CSCI4131 Internet Programming, Spring 2011
  • D. Park, W. He and D. Du, "Multiple Bloom Filters-based Hot Data Identification: Block-level Decision vs. I/O Request-level Decision", Journal of Computer Science and Technology (JCST), Mar. 2017
  • A. Haghdoost, W. He, J. Fredin, D. Du, "On the Accuracy and Scalability of Intensive I/O Workload Replay", FAST 2017
  • W. He, D. Du, "SMaRT: An Approach to Shingled Magnetic Recording Translation", FAST 2017
  • W. He, D. Du, S. B. Narasimhamurthy, "PIONEER: A Solution to Parallel I/O Workload Characterization and Generation", CCGrid 2015
  • W. He, D. Du, "Novel Address Mappings for Shingled Write Disks", HotStorage 2014, Jun. 2014
  • A. Haghdoost, W. He, J. Fredin, D. Du, "hfplayer: High Fidelity Block I/O Trace Replay Tool", 2014 USENIX Conference on File and Storage Technolgies (FAST), WiP report, Feb. 2014
  • C. Lin, D. Park, W. He, D. H. Du, "H-SWD: Incorporating Hot Data Identification into Shingled Write Disks", 2012 IEEE 20th International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), Aug. 2012
  • NetApp, Inc. Summer 2012
    I was working to develop a high fidelity I/O workload replay engine, in the Advanced Development Department of Array Product Group. We defined high fidelity as being able to provide extremely high workload injection rate to the array controller, as well as the capability to preserve precise arrival pattern and inter-request dependencies as the same time.
  • Dell | Compellent, Summer 2013
    The project is about storage center I/O workload capture, replay and analysis. I was working in the core software team to build a workload recorder inside the storage center. The recorder aims to capture IO requests at different software layers, including virtulization, RAID, and disk manager, etc.
  • Email: weihe at cs dot umn dot edu
  • Office: DTC B34

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