• Autotuning Benchmarking Techniques: A Roofline Model Case Study 

      Tørring, Jacob; Meyer, Jan Christian; Elster, Anne C. (Peer reviewed; Journal article, 2021)
      Peak performance metrics published by vendors often do not correspond to what can be achieved in practice. It is therefore of great interest to do extensive benchmarking on core applications and library routines. Since ...
    • LS-CAT: A Large-Scale CUDA AutoTuning Dataset 

      Lars, Bjertnes; Tørring, Jacob; Elster, Anne C. (Peer reviewed; Journal article, 2021)
      The effectiveness of Machine Learning (ML) methods depend on access to large suitable datasets. In this article, we present how we build the LS-CAT (Large-Scale CUDA AutoTuning) dataset sourced from GitHub for the purpose ...