Jun Woo (John) Park

Ph.D Student
Computer Science Department
Carnegie Mellon Unversity

Email: junwoop 'at' cs.cmu.edu
Office: CIC 2220G and GHC 9227
CVProposal

Research Interest

I am a Ph.D student at School of Computer Science, Carnegie Mellon University advised by Greg Ganger. My general interests are in designing scalable systems for the cluster management and cloud computing. I am currently involved in Cluster Scheduling and ATLAS projects.

Publications

  • Stratus: virtual cluster scheduling in the public cloud
    Andrew Chung, Jun Woo Park, Gregory R. Ganger
    To appear in SOCC'18, Carlsbad, CA, October 2018
  • On the diversity of cluster workloads and its impact on research results
    George Amvrosiadis, Jun Woo Park, Gregory R. Ganger, Garth A. Gibson, Elisabeth Baseman, Nathan DeBardeleben
    In Proc. of ATC'18, Boston, MA, July 2018
  • 3Sigma: Distribution-based cluster scheduling for runtime uncertainty
    Jun Woo Park, Alexey Tumanov, Angela Jiang, Michael A. Kozuch, Gregory R. Ganger
    In Proc. of Eurosys'18, Porto, Portugal, April 2018
  • TetriSched: Global Rescheduling with Adaptive Plan-ahead in Dynamic Heterogeneous Clusters
    Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger
    In Proc. of Eurosys'16, London, UK, April 2016
  • Semidefinite Sketches for Multi-Dimensional Data Stream
    Jun Woo Park, Thomas Tauber-Marshall, Andrew Pavlo, and Alex Smola
    Submitted
  • Scaling Distributed Machine Learning with the Parameter Server
    Mu Li, Dave Andersen, Alex Smola, Junwoo Park, Amr Ahmed, Vanja Josifovski, James Long, Eugene Shekita, and Bor-Yiing Su
    In Proc. of OSDI'14, Broomfield, CO, USA, October 2014

Work Experience

  • May 2016 - August 2016 Intern, Two Sigma Investments LP
  • May 2014 - September 2014 Intern, Google Inc
  • March 2013 - June 2013 Software Engineer, KulCloud
  • March 2009 - March 2013 Financial Software Engineer, Korea Asset Pricing & Korea Ratings Co.(Formally Korea Bond Pricing & Korea Ratings Co.)

Education

  • August 2013 - Present Ph.D in Computer Science, Carnegie Mellon University
  • December 2016 M.S in Computer Science, Carnegie Mellon University
  • August 2006 - May 2010 B.Sc (Hons.) in Electrical and Computer Engineering, Carnegie Mellon University

Past Life

In the past I have worked on various things, such as Distributed Systems for Machine Learning and Sketching Algorithms in the earlier days of my graduate school studies.

Even before that, I was working as a financial software engineer for a risk analysis and pricing of credit derivatives including Credit Default Swaps, Credit Linked Notes, and Synthetic CDOs, right after the financial crisis of 2008. This movie summarizes what I learned in first few days of my work.