Towards User Transparent Parallel Multimedia Computing on GPU-Clusters. - Ben van Werkhoven; Jason Maassen; Frank J. Seinstra (ISCA Workshops, 2010)

User transparent data and task parallel multimedia computing with Pyxis-DT. - Timo van Kessel; Ben van Werkhoven; Niels Drost; Jason Maassen; Henri E. Bal; Frank J. Seinstra (Future Gener. Comput. Syst., 2013)

Performance Models for CPU-GPU Data Transfers. - Ben van Werkhoven; Jason Maassen; Frank J. Seinstra; Henri E. Bal (CCGRID, 2014)

Optimizing convolution operations on GPUs using adaptive tiling. - Ben van Werkhoven; Jason Maassen; Henri E. Bal; Frank J. Seinstra (Future Gener. Comput. Syst., 2014)

An Integrated Approach to Porting Large Scientific Applications to GPUs. - Ben van Werkhoven; Pieter Hijma (e-Science, 2015)

OMUSE: Oceanographic multipurpose software environment. - F. Inti Pelupessy; Ben van Werkhoven; Arjen van Elteren; Jan Viebahn; Adam Candy; Simon Portegies Zwart; Henk A. Dijkstra (eScience, 2016)

A spatial column-store to triangulate the Netherlands on the fly. - Romulo Goncalves; Tom van Tilburg; Kostis Kyzirakos; Foteini Alvanaki; Panagiotis Koutsourakis; Ben van Werkhoven; Willem Robert van Hage (SIGSPATIAL/GIS, 2016)

On the complexities of utilizing large-scale lightpath-connected distributed cyberinfrastructure. - Jason Maassen; Ben van Werkhoven; Maarten A. J. van Meersbergen; Henri E. Bal; Michael Kliphuis; Sandra E. Brunnabend; Henk A. Dijkstra; Gerben van Malenstein; Migiel de Vos; Sylvia Kuijpers; Sander Boele; Jules Wolfrat; et al. (Concurr. Comput. Pract. Exp., 2017)

Clustering image noise patterns by embedding and visualization for common source camera detection. - Sonja Georgievska; Rena Bakhshi; Anand K. Gavai; Alessio Sclocco; Ben van Werkhoven (Digit. Investig., 2017)

Development of the OMUSE/AMUSE Modeling System. - F. Inti Pelupessy; Ben van Werkhoven; Gijs van den Oord; Simon Portegies Zwart; Arjen van Elteren; Henk A. Dijkstra (eScience, 2018)

Painting the Picture of Software Impact with the Research Software Directory. - Jurriaan H. Spaaks; Tom Klaver; Stefan Verhoeven; Jason Maassen; Tom Bakker; Atze van der Ploeg; Ben van Werkhoven; Willem Robert van Hage; Rob V. van Nieuwpoort (eScience, 2018)

Survey on Research Software Engineering in the Netherlands. - Ben van Werkhoven; Tom Bakker; Olivier Philippe; Simon Hettrick (eScience, 2018)

Poster Abstracts eScience 2018 Conference. - Ben van Werkhoven; Adriënne Mendrik; Rob van Nieuwpoort (eScience, 2018)

A Jungle Computing approach to common image source identification in large collections of images. - Ben van Werkhoven; Pieter Hijma; Ceriel J. H. Jacobs; Jason Maassen; Zeno J. M. H. Geradts; Henri E. Bal (Digit. Investig., 2018)

softwaresaved/international-survey: Public release for 2017 results. - Olivier Philippe; Martin Hammitzsch; Stephan Janosch; Anelda van der Walt; Ben van Werkhoven; Simon Hettrick; Daniel S. Katz; Katrin Leinweber; Sandra Gesing; Stephan Druskat; Scott Henwood (Zenodo, 2018)

softwaresaved/international-survey: Public release for 2017 results. - Olivier Philippe; Martin Hammitzsch; Stephan Janosch; Anelda van der Walt; Ben van Werkhoven; Simon Hettrick; Daniel S. Katz; Katrin Leinweber; Sandra Gesing; Stephan Druskat; Scott Henwood (Zenodo, 2018)

softwaresaved/international-survey: Public release for 2017 results. - Olivier Philippe; Martin Hammitzsch; Stephan Janosch; Anelda van der Walt; Ben van Werkhoven; Simon Hettrick; Daniel S. Katz; Katrin Leinweber; Sandra Gesing; Stephan Druskat; Scott Henwood (Zenodo, 2018)

Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. - F. Inti Pelupessy; Simon Portegies Zwart; Arjen van Elteren; Henk A. Dijkstra; Fredrik Jansson; Daan Crommelin; Pier Siebesma; Ben van Werkhoven; Gijs van den Oord (ICCS (4), 2019)

Kernel Tuner: A search-optimizing GPU code auto-tuner. - Ben van Werkhoven (Future Gener. Comput. Syst., 2019)

softwaresaved/international-survey: Public release for 2018 results. - Olivier Philippe; Martin Hammitzsch; Stephan Janosch; Anelda van der Walt; Ben van Werkhoven; Simon Hettrick; Daniel S. Katz; Katrin Leinweber; Sandra Gesing; Stephan Druskat; Scott Henwood; Nicholas R. May; et al. (Zenodo, 2019)

Lessons Learned in a Decade of Research Software Engineering GPU Applications. - Ben van Werkhoven; Willem Jan Palenstijn; Alessio Sclocco (ICCS (7), 2020)

Rocket: efficient and scalable all-pairs computations on heterogeneous platforms. - Stijn Heldens; Pieter Hijma; Ben van Werkhoven; Jason Maassen; Henri E. Bal; Rob van Nieuwpoort (SC, 2020)

ESiWACE2 Services: RSE collaborations in Weather and Climate. - Gijs van den Oord; Victor Azizi; Alessio Sclocco; Georges-Emmanuel Moulard; David Guibert; Jisk Attema; Erwan Raffin; Ben van Werkhoven (CoRR, 2020)

AMBER: A real-time pipeline for the detection of single pulse astronomical transients. - Alessio Sclocco; Stijn Heldens; Ben van Werkhoven (SoftwareX, 2020)

GPU Optimizations for Atmospheric Chemical Kinetics. - Theodoros Christoudias; Timo Kirfel; Astrid Kerkweg; Domenico Taraborrelli; Georges-Emmanuel Moulard; Erwan Raffin; Victor Azizi; Gijs van den Oord; Ben van Werkhoven (HPC Asia, 2021)

Bayesian Optimization for auto-tuning GPU kernels. - Floris-Jan Willemsen; Rob van Nieuwpoort; Ben van Werkhoven (PMBS, 2021)

The Landscape of Exascale Research: A Data-Driven Literature Analysis. - Stijn Heldens; Pieter Hijma; Ben van Werkhoven; Jason Maassen; Adam S. Z. Belloum; Rob van Nieuwpoort (ACM Comput. Surv., 2021)

Lightning: Scaling the GPU Programming Model Beyond a Single GPU. - Stijn Heldens; Pieter Hijma; Ben van Werkhoven; Jason Maassen; Rob V. van Nieuwpoort (IPDPS, 2022)

Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. - Richard Schoonhoven; Bram Veenboer; Ben van Werkhoven; Kees Joost Batenburg (PMBS@SC, 2022)

International RSE Survey 2022. - Simon Hettrick; Radovan Bast; Steve Crouch; Claire Wyatt; Olivier Philippe; Alex Botzki; Jeff Carver 001; Ian A. Cosden; Florencia D'Andrea; Abhishek Dasgupta; William Godoy; Alejandra N. González-Beltrán; et al. (Zenodo, 2022)

litstudy: A Python package for literature reviews. - Stijn Heldens; Alessio Sclocco; Henk Dreuning; Ben van Werkhoven; Pieter Hijma; Jason Maassen; Rob V. van Nieuwpoort (SoftwareX, 2022)

Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications. - Stijn Heldens; Ben van Werkhoven (IPDPS Workshops, 2023)

Towards a Benchmarking Suite for Kernel Tuners. - Jacob O. Tørring; Ben van Werkhoven; Filip Petrovic; Floris-Jan Willemsen; Jiri Filipovic; Anne C. Elster (IPDPS Workshops, 2023)

Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. - Richard Arnoud Schoonhoven; Ben van Werkhoven; Kees Joost Batenburg (IEEE Trans. Evol. Comput., 2023)

Optimization Techniques for GPU Programming. - Pieter Hijma; Stijn Heldens; Alessio Sclocco; Ben van Werkhoven; Henri E. Bal (ACM Comput. Surv., 2023)

Bringing Auto-Tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs. - Milo Lurati; Stijn Heldens; Alessio Sclocco; Ben van Werkhoven (Euro-Par (1), 2024)

FAIR Sharing of Data in Autotuning Research (Vision Paper). - Jana Hozzová; Jacob O. Tørring; Ben van Werkhoven; David Strelák; Richard W. Vuduc (ICPE (Companion), 2024)

A methodology for comparing optimization algorithms for auto-tuning. - Floris-Jan Willemsen; Richard Schoonhoven; Jiri Filipovic; Jacob O. Tørring; Rob van Nieuwpoort; Ben van Werkhoven (Future Gener. Comput. Syst., 2024)

PowerSensor3: A Fast and Accurate Open Source Power Measurement Tool. - Steven van der Vlugt; Leon C. Oostrum; Gijs Schoonderbeek; Ben van Werkhoven; Bram Veenboer; Krijn Doekemeijer; John W. Romein (ISPASS, 2025)