Invited-talk on Auto-tuning GPU code for Energy Efficiency
At the HPC Asia 2023 conference, I gave a talk in the Energy and resource efficiency of data centers (EREC) workshop. The talk provides an overview of how w...
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Our group conducts interdisciplinary research spanning the areas of High Performance Computing, Machine Learning, Optimization Algorithms, Green Computing, and Software Engineering.
Going Green: Optimizing GPUs for Energy Efficiency through Model-Steered Auto-Tuning
Supercomputing SC22 - I presented the paper that we wrote together with Ben van Werkhoven, Bram Veenboer and Joost Batenburg. The paper presents our latest ...
Lightning: Scaling the GPU Programming Model Beyond a Single GPU
IPDPS 2022 - I presented my paper on Lightning, a programming model that allows you to create applications for GPU clusters in way that is very similar to de...
Lorentz Center workshop on Generic Autotuning Technology for GPU Applications
March 7-11, 2022 — After preparations that spanned more than a year in total, the week of Lorentz Center workshop is finally here! For a long time, it was un...
Bayesian Optimization for auto-tuning GPU kernels
Supercomputing 2021 — I traveled to St. Louis to present my paper on the use of Bayesian Optimization for auto-tuning GPU kernels. This paper was accepted in...
Kernel Tuner tutorial at Supercomputing 2021
November 2021 — Together with my colleagues, Alessio Sclocco, Stijn Heldens, and Floris-Jan Willemsen, we travelled to the latest edition of the Supercomputi...