Stijn Heldens' Personal Page

Curriculum Vitae

2018 - present: Netherlands eScience Center. PhD candidate on the topic of programming models towards exascale computing.
2018 - present: University of Amsterdam PhD candidate on the topic of programming models towards exascale computing.
2016 - 2017: University of Twente. Researcher at Stochastic Operations Research Group. Worked on processing of large-scale spatio-temporal graphs.
2015 - 2016: Delft University of Technology. Researcher at Distributed Systems group. Worked on graph processing using heterogenous CPU-GPU systems.
2012 - 2015: VU University Amsterdam. Master Computer Science, specialization tracks High Performance Distributed Computing and Internet Programming.
2009 - 2012: University of Amsterdam Bachelor Computer Science.

Some highlighted publications are shown below. See Google Scholar for the complete and up-to-date overview.

S Heldens, P Hijma, B van Werkhoven, J Maassen, RV van Nieuwpoort 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
S Heldens, P Hijma, B van Werkhoven, J Maassen, ASZ Belloum, RV van Nieuwpoort The Landscape of Exascale Research - Data-Driven Literature Analysis ACM Computing Surveys 2020 10.1145/3372390
- paper
A Iosup, T Hegeman, WL Ngai, S Heldens, et al. LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms PVLDB 2016 10.14778/3007263.3007270
S Heldens, AL Varbanescu, A Iosup Dynamic load balancing for high-performance graph processing on hybrid CPU-GPU platforms Workshop on Irregular Applications: Architectures and Algorithms 2016 10.1109/IA3.2016.16
S Heldens, A Varbanescu, WL Ngai, T Hegeman, A Iosup Towards the Next Generation of Large-Scale Network Archives European Conference on Parallel Processing 2016 10.1007/978-3-319-58943-5_46
S Heldens, AL Varbanescu, A Prat-Pérez, JL Larriba-Pey Towards community detection on heterogeneous platforms European Conference on Parallel Processing 2015 10.1007/978-3-319-27308-2_18