Portable to Efficient: Auto-Tuning Hardware-Agnostic GPU Kernels in Julia
September 28th, 2026 — I travelled to Singapore together with Evelyne Ringoot to present our joint work on KernelTuner.jl at ICPP’26 in Sustain-HPC. The pap...
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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.
More speed, more power… less energy? This is how researchers are reducing the energy consumption of computers
Can computers use less energy without compromising performance? That’s what computer scientists Ben van Werkhoven and Rob van Nieuwpoort from the Leiden Ins...
Mixed-Precision GPU Acceleration of RTE-RRTMGP-CPP: Towards Radiative Transfer Simulations on Exascale Supercomputers
September 7, 2026 - Today, our paper titled “Mixed-Precision GPU Acceleration of RTE-RRTMGP-CPP: Towards Radiative Transfer Simulations on Exascale Supercomp...
How to Maximize your Science per Watt: Energy-Efficient GPU Computing at ISC 2026
GPUs power many of today’s large-scale scientific simulations, data analysis workflows, and AI applications. However, all that computing power comes at a ...
Research Software Engineers in the Age of GenAI: Same Value, Changing Practice
May 28, 2026 — Today, an article was published that we set out to write at the workshop on Research Software Engineering in the Age of Generative AI held in...
Constraint-aware Optimization in Auto-Tuning
May 25, 2026 — I travelled to New Orleans to present our paper “Constraint-aware Optimization in Auto-Tuning” at the International Workshop on Automatic Perf...
Automated Algorithm Design for Auto-Tuning Optimizers
May 20, 2026 — Today at the Annual Conference on Machine Learning and Systems (MLSys 2026), I presented our paper “Automated Algorithm Design for Auto-Tuning...