Curriculum Vitae
- 2026 - present
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Leiden Institute of Advanced Computer Science . Visiting researcher.
- 2022 - present
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Netherlands eScience Center. Research Software Engineer. Focus on accelerating scientific projects using HPC and GPUs.
- 2022 - 2024
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University of Amsterdam Visiting researcher.
- 2018 - 2022
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Netherlands eScience Center / University of Amsterdam PhD on the topic of programming models towards exascale computing.
- 2016 - 2017
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University of Twente. Researcher at Stochastic Operations Research Group. Worked on processing of large-scale spatio-temporal graphs.
- 2015 - 2016
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Delft University of Technology. Researcher at Distributed Systems group. Worked on graph processing using heterogeneous CPU-GPU systems.
- 2012 - 2015
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VU University Amsterdam. Master Computer Science, specialization tracks High Performance Distributed Computing and Internet Programming.
- 2009 - 2012
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Publications
Some highlighted publications are shown below. See Google Scholar for the complete and up-to-date overview.- Accuracy-Aware Mixed-Precision GPU Auto-Tuning IEEE Transactions on Parallel and Distributed Systems (TPDS) 2026 10.1109/TPDS.2026.3659324
- Kernel Float: Unlocking Mixed-Precision GPU Computing ACM Transactions on Mathematical Software (TOMS) 2025 10.1145/3779120
- Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs International European Conference on Parallel and Distributed Computing (Euro-Par) 2024 10.1007/978-3-031-69577-3_7
- Parallel Programming Systems for Scalable Scientific Computing PhD dissertation, University of Amsterdam 2024
- Optimization Techniques for GPU Programming ACM Computing Surveys 2023 10.1145/3570638
- Kernel Launcher: C++ Library for optimal performance-portable CUDA kernels IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) 2023 10.1109/IPDPSW59300.2023.00126
- litstudy: A Python package for literature reviews SoftwareX 2022 10.1016/j.softx.2022.101207
- Lightning: Scaling the GPU Programming Model Beyond a Single GPU IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2022 10.1109/IPDPS53621.2022.00054
- Rocket: Efficient and Scalable All-Pairs Computations on Heterogeneous Platforms Conference for High Performance Computing, Networking, Storage, and Analysis (SC20) 2020 10.1109/SC41405.2020.00105
- The Landscape of Exascale Research - Data-Driven Literature Analysis ACM Computing Surveys 2020 10.1145/3372390
- LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms PVLDB 2016 10.14778/3007263.3007270
- Dynamic load balancing for high-performance graph processing on hybrid CPU-GPU platforms Workshop on Irregular Applications: Architectures and Algorithms 2016 10.1109/IA3.2016.016
- Towards the Next Generation of Large-Scale Network Archives European Conference on Parallel Processing 2016 10.1007/978-3-319-58943-5_46
- Par-CD: Flexible Framework for Parallel Community Detection in Large Networks MSc thesis 2015
- Towards community detection on heterogeneous platforms European Conference on Parallel Processing 2015 10.1007/978-3-319-27308-2_18
Related Software
- Kernel Tuner Ecosystem: Software for the creation of highly-optimized GPU applications through auto-tuning.
- Kernel Launcher: Launching CUDA kernels which have been tuned by Kernel Tuner.
- Kernel Float: Header-only C++ library for working with reduced precision and vectorization in CUDA.
- Kernel Flow: Perform multi-GPU kernel launches across distributed systems.
- Lightning: Data-oriented lightning-fast parallel processing using GPUs on distributed clusters.
- HyGraph: High-performance graph processing on hybrid CPU-GPU platforms by using dynamic load-balancing.
- Par-CD: Flexible Framework for Parallel Community Detection in Large Networks on multi-core CPUs and GPU.
Contact
- Google Scholar: Stijn Heldens
- Github: stijn.h
- LinkedIn: Stijn Heldens
- DBLP: Stijn Heldens