Optimization Techniques for GPU Programming
ACM Computing Surveys has published our paper on optimization techniques for GPU programming. The paper presents the first comprehensive overview of software...
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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.
Automatically Exploring GPU Program Design Spaces for Increased Productivity and Sustainability
SIAM CSE23 - SIAM Conference on Computational Science and Engineering (CSE23) was held in RAI in Amsterdam, the Netherlands from Feb 26 to March 3. I dropped...
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...
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...
