TYLER DWYER

PhD Student, MSc, BSc

University of British Columbia, Vancouver, Canada

tdwyer@ece.ubc.ca

Current Research Interests:

  • High performance computing systems
  • Quantum computing
  • Artificial intelligence
  • Exponential trends in science and technology
Fort Langley Dock Banff Flat tire near Yukon 2012 Summer Space Program Kennedy Space Center Mt. Harvey Summit SFU Rowing Team North Coast Trail Stawamus Chief Zipline Group




    Any sufficiently advanced technology is indistinguishable from magic. – Arthur C. Clarke


    Tyler’s interest in advanced technology has only ever been second to his drive to someday create it. Now as a PhD student at University of British Columbia he has the opportunity to do just that. He is currently researching methods to maximize performance in High Performance Computing systems (HPC), with special interest to scientific workloads. He is also interested in programming Quantum Computers, and strong Artificial Intelligence. Tyler believes that these three areas, HPC, QC and AI, will come together in the near future to produce the next generation of computing.



    Outside of academia, his heart is in travelling, nature and motorcycles. His travels have led him to the Red, Black, Dead, and Mediterranean Sea’s. He has listened to prayer in Amman, Jordan, got lost in the bazaars of Istanbul, Turkey, been sun burnt on beaches from Greece to Hawaii, and of course, found the cheapest (best?) food everywhere in between. The best of his travels however, have always been when hiking, skiing, kayaking, and motorcycling around his home province of beautiful British Columbia, Canada. Lily, his affectionately named motorcycle, is his muse and has been his escape for countless kilometers of blissful & exciting riding.


2015

  • Multi-Objective Job Placement in Clusters

    Sergey Blagodurov, Alexandra Fedorova, Evgeny Vinnik, Tyler Dwyer, Fabien Hermenier
    SC'15: SuperComputing, 2015
    Conference Paper (pdf)
  • On Instruction Organization

    Tyler Dwyer, Alexandra Fedorova
    USENIX HotOS: Hot Topics for Operating Systems, 2015
    Acceptance Rate 29%
    Conference Paper (pdf)

2012

  • A Practical Method for Estimating Performance Degradation on Multicore Processors and its Application to HPC Workloads

    Tyler Dwyer, Alexandra Fedorova, Sergey Blagodurov, Mark Roth, Fabien Gaud and Jian Pei
    Supercomputing Conference, 2012
    Acceptance Rate 21%
    Conference Paper (pdf) | Masters Thesis (pdf) | ACM Library (link)