Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels
Transactions on Evolutionary Computation (TECV) has published our paper on Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. This paper uses ...
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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.
Kernel Launcher: C++ library for creating optimal-performance portable CUDA applications
IPDPS 2023 - I traveled to St. Petersburg Florida to present our new paper on Kernel Launcher at iWAPT2023, the International Workshop on Automatic Performan...
ICT.Open2023 Workshop on Energy-Aware HPC
April 19, 2023, Utrecht, the Netherlands – At the Jaarbeurs in Utrecht, the annual ICT.Open conference hosted a workshop invited participants to delve into t...
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...
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 ...