• MDM: The GPU Memory Divergence Model 

      Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Eeckhout, Lieven (Chapter, 2020)
      Analytical models enable architects to carry out early-stage design space exploration several orders of magnitude faster than cycle-accurate simulation by capturing first-order performance phenomena with a set of mathematical ...
    • Modeling Emerging Memory-Divergent GPU Applications 

      Wang, Lu; Jahre, Magnus; Adileh, Almutaz; Wang, Zhiying; Eeckhout, Lieven (Journal article; Peer reviewed, 2019)
      Analytical performance models yield valuable architectural insight without incurring the excessive runtime overheads of simulation. In this work, we study contemporary GPU applications and find that the key performance-related ...