Publications

2024

  1. Under Review
    CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
    Jacob O Tørring, Carl Hvarfner, Luigi Nardi, and Magnus Själander
    arXiv preprint arXiv:2406.17811, 2024
  2. ICPE 2024
    FAIR Sharing of Data in Autotuning Research (Vision Paper)
    Jana Hozzová, Jacob O Tørring, Ben Werkhoven, David Strelák, and Richard Vuduc
    In Companion of the 15th ACM/SPEC International Conference on Performance Engineering , 2024
  3. FGCS 2024
    A methodology for comparing optimization algorithms for auto-tuning
    Floris-Jan Willemsen, Richard Schoonhoven, Jiřı́ Filipovič, Jacob O Tørring, Rob Nieuwpoort, and Ben Werkhoven
    Future Generation Computer Systems, 2024

2023

  1. IPDPS 2023
    Towards a Benchmarking Suite for Kernel Tuners
    Jacob O Tørring, Ben Werkhoven, Filip Petrovč, Floris-Jan Willemsen, Jiřı́ Filipovič, and Anne C Elster
    In 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) , 2023

2022

  1. IPDPS 2022
    Analyzing Search Techniques for Autotuning Image-based GPU Kernels: The Impact of Sample Sizes
    Jacob O Tørring, and Anne C Elster
    In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) , 2022

2021

  1. IPDPS 2021
    Autotuning Benchmarking Techniques: A Roofline Model Case Study
    Jacob O Tørring, Jan Christian Meyer, and Anne C Elster
    In 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) , 2021
  2. ICAPAI 2021
    LS-CAT: A Large-Scale CUDA AutoTuning Dataset
    Lars Bjertnes, Jacob O Tørring, and Anne C Elster
    In 2021 International Conference on Applied Artificial Intelligence (ICAPAI) , 2021
  3. NIK 2021
    Autotuning CUDA: Applying NLP Techniques to LS-CAT
    Lars Bjertnes, Jacob O Tørring, and Anne C Elster
    In Norsk IKT-konferanse for forskning og utdanning , 2021
  4. NIK 2021
    BAT: A Benchmark suite for AutoTuners
    Ingunn Sund, Knut A Kirkhorn, and Jacob O Tørring
    In Norsk IKT-konferanse for forskning og utdanning , 2021

2020

  1. Master Thesis
    Optimization Techniques for Auto-tuning GPUs: An Empirical Study of Image-based GPU Kernels
    Jacob Odgård Tørring
    NTNU , 2020

2019

  1. SESoS 2019
    Slicing executable system-of-systems models for efficient statistical verification
    Jiyoung Song, Jacob Odgård Tørring, Sangwon Hyun, Eunkyoung Jee, and Doo-Hwan Bae
    In 2019 IEEE/ACM 7th International Workshop on Software Engineering for Systems-of-Systems (SESoS) and 13th Workshop on Distributed Software Development, Software Ecosystems and Systems-of-Systems (WDES) , 2019