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Stijn Heldens
Stijn Heldens
Research Software Engineer in Computer Science at Netherlands eScience Center (NLeSc)/University of
Bestätigte E-Mail-Adresse bei esciencecenter.nl
Titel
Zitiert von
Zitiert von
Jahr
LDBC Graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms
A Iosup, T Hegeman, WL Ngai, S Heldens, A Prat-Pérez, T Manhardto, ...
Proceedings of the VLDB Endowment 9 (13), 1317-1328, 2016
1192016
The landscape of exascale research: A data-driven literature analysis
S Heldens, P Hijma, BV Werkhoven, J Maassen, ASZ Belloum, ...
ACM Computing Surveys (CSUR) 53 (2), 1-43, 2020
402020
Dynamic load balancing for high-performance graph processing on hybrid cpu-gpu platforms
S Heldens, AL Varbanescu, A Iosup
2016 6th Workshop on Irregular Applications: Architecture and Algorithms …, 2016
152016
Granula: Toward fine-grained performance analysis of large-scale graph processing platforms
WL Ngai, T Hegeman, S Heldens, A Iosup
Proceedings of the Fifth International Workshop on Graph Data-management …, 2017
92017
AMBER: a real-time pipeline for the detection of single pulse astronomical transients
A Sclocco, S Heldens, B van Werkhoven
SoftwareX 12, 100549, 2020
82020
Scalable Detection of Crowd Motion Patterns
N Litvak, S Heldens, M van Steen
IEEE transactions on knowledge and data engineering, 2018
7*2018
The LDBC Graphalytics Benchmark
A Iosup, A Musaafir, A Uta, AP Pérez, G Szárnyas, H Chafi, IG Tănase, ...
arXiv preprint arXiv:2011.15028, 2020
22020
litstudy: A Python package for literature reviews
S Heldens, A Sclocco, H Dreuning, B van Werkhoven, P Hijma, ...
SoftwareX 20, 101207, 2022
12022
Lightning: Scaling the GPU Programming Model Beyond a Single GPU
S Heldens, P Hijma, B Van Werkhoven, J Maassen, RV Van Nieuwpoort
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022
12022
Automated lane detection in crowds using proximity graphs
S Heldens, C Martella, N Litvak, M van Steen
arXiv preprint arXiv:1707.01698, 2017
12017
Ldbc graphalytics: A benchmark for large-scale graph analysis on parallel and distributed platforms, a technical report
A Iosup, T Hegeman, WL Ngai, S Heldens, AP Pérez, T Manhardt, H Chafi, ...
Delft University of Technology, Tech. Rep, 2016
12016
Towards community detection on heterogeneous platforms
S Heldens, AL Varbanescu, A Prat-Pérez, JL Larriba-Pey
Euro-Par 2015: Parallel Processing Workshops: Euro-Par 2015 International …, 2015
12015
AMBER: Fast pipeline for detecting single-pulse radio transients
A Sclocco, D Vohl, J Attema, S Heldens, B van Werkhoven
Astrophysics Source Code Library, ascl: 2209.007, 2022
2022
Optimization Techniques for GPU Programming
P Hijma, S Heldens, A Sclocco, B van Werkhoven, HE Bal
ACM Computing Surveys, 2022
2022
Rocket: efficient and scalable all-pairs computations on heterogeneous platforms
S Heldens, P Hijma, B Van Werkhoven, J Maassen, H Bal, ...
SC20: International Conference for High Performance Computing, Networking …, 2020
2020
Towards the Next Generation of Large-Scale Network Archives
S Heldens, A Varbanescu, WL Ngai, T Hegeman, A Iosup
Euro-Par 2016: Parallel Processing Workshops: Euro-Par 2016 International …, 2017
2017
Visual debugger for the object-based simulation language Pearl
S Heldens
2012
HyGraph: High-Performance Graph Processing on Hybrid CPU-GPU Platforms
S Heldens, AL Varbanescu, A Iosup
HyGraph: Fast Graph Processing on Hybrid CPU-GPU Platforms by Dynamic Load-Balancing
S Heldens, AL Varbanescu, A Iosup
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