Ben van Werkhoven

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Literature Review

Software Engineering

Optimization Algorithm

Matching Procedure

Top Venues

Future Gener. Comput. Syst.

Publications

Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Strelák, Richard Vuduc
FAIR Sharing of Data in Autotuning Research (Vision Paper). ICPE (Companion) (2024)
Milo Lurati, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven
Bringing Auto-tuning to HIP: Analysis of Tuning Impact and Difficulty on AMD and Nvidia GPUs. CoRR (2024)
Floris-Jan Willemsen, Richard Schoonhoven, Jiri Filipovic, Jacob O. Tørring, Rob van Nieuwpoort, Ben van Werkhoven
A methodology for comparing optimization algorithms for auto-tuning. Future Gener. Comput. Syst. 159 (2024)
Richard Arnoud Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. IEEE Trans. Evol. Comput. 27 (3) (2023)
Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic, Floris-Jan Willemsen, Jiri Filipovic, Anne C. Elster
Towards a Benchmarking Suite for Kernel Tuners. CoRR (2023)
Stijn Heldens, Ben van Werkhoven
Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications. IPDPS Workshops (2023)
Pieter Hijma, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven, Henri E. Bal
Optimization Techniques for GPU Programming. ACM Comput. Surv. 55 (11) (2023)
Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic, Floris-Jan Willemsen, Jiri Filipovic, Anne C. Elster
Towards a Benchmarking Suite for Kernel Tuners. IPDPS Workshops (2023)
Stijn Heldens, Ben van Werkhoven
Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications. CoRR (2023)
Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. CoRR (2022)
Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg
Benchmarking optimization algorithms for auto-tuning GPU kernels. CoRR (2022)
Stijn Heldens, Alessio Sclocco, Henk Dreuning, Ben van Werkhoven, Pieter Hijma, Jason Maassen, Rob V. van Nieuwpoort
litstudy: A Python package for literature reviews. SoftwareX 20 (2022)
Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. CoRR (2022)
Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. PMBS@SC (2022)
Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. IPDPS (2022)
Floris-Jan Willemsen, Rob van Nieuwpoort, Ben van Werkhoven
Bayesian Optimization for auto-tuning GPU kernels. CoRR (2021)
Theodoros Christoudias, Timo Kirfel, Astrid Kerkweg, Domenico Taraborrelli, Georges-Emmanuel Moulard, Erwan Raffin, Victor Azizi, Gijs van den Oord, Ben van Werkhoven
GPU Optimizations for Atmospheric Chemical Kinetics. HPC Asia (2021)
Floris-Jan Willemsen, Rob van Nieuwpoort, Ben van Werkhoven
Bayesian Optimization for auto-tuning GPU kernels. PMBS (2021)
Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco
Lessons learned in a decade of research software engineering GPU applications. CoRR (2020)
Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Adam S. Z. Belloum, Rob van Nieuwpoort
The Landscape of Exascale Research: A Data-Driven Literature Analysis. ACM Comput. Surv. 53 (2) (2020)
Gijs van den Oord, Victor Azizi, Alessio Sclocco, Georges-Emmanuel Moulard, David Guibert, Jisk Attema, Erwan Raffin, Ben van Werkhoven
ESiWACE2 Services: RSE collaborations in Weather and Climate. CoRR (2020)
Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco
Lessons Learned in a Decade of Research Software Engineering GPU Applications. ICCS (7) (2020)
Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Henri E. Bal, Rob van Nieuwpoort
Rocket: efficient and scalable all-pairs computations on heterogeneous platforms. SC (2020)
Alessio Sclocco, Stijn Heldens, Ben van Werkhoven
AMBER: A real-time pipeline for the detection of single pulse astronomical transients. SoftwareX 12 (2020)
Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Henri E. Bal, Rob van Nieuwpoort
Rocket: Efficient and Scalable All-Pairs Computations on Heterogeneous Platforms. CoRR (2020)
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
Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. ICCS (4) (2019)
Ben van Werkhoven
Kernel Tuner: A search-optimizing GPU code auto-tuner. Future Gener. Comput. Syst. 90 (2019)
Ben van Werkhoven, Tom Bakker, Olivier Philippe, Simon Hettrick
Survey on Research Software Engineering in the Netherlands. eScience (2018)
Ben van Werkhoven, Pieter Hijma, Ceriel J. H. Jacobs, Jason Maassen, Zeno J. M. H. Geradts, Henri E. Bal
A Jungle Computing approach to common image source identification in large collections of images. Digit. Investig. 27 (2018)
Ben van Werkhoven, Adriënne Mendrik, Rob van Nieuwpoort
Poster Abstracts eScience 2018 Conference. eScience (2018)
F. Inti Pelupessy, Ben van Werkhoven, Gijs van den Oord, Simon Portegies Zwart, Arjen van Elteren, Henk A. Dijkstra
Development of the OMUSE/AMUSE Modeling System. eScience (2018)
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
Painting the Picture of Software Impact with the Research Software Directory. eScience (2018)
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, Nick Hill, David Wallom, Christian Grimm, Dieter Kranzlmüller, Dinesh Ganpathi, Shantenu Jha, Yaakoub El Khamra, Frank O. Bryan, Benjamin Kirtman, Frank J. Seinstra
On the complexities of utilizing large-scale lightpath-connected distributed cyberinfrastructure. Concurr. Comput. Pract. Exp. 29 (2) (2017)
Sonja Georgievska, Rena Bakhshi, Anand Gavai, Alessio Sclocco, Ben van Werkhoven
Clustering image noise patterns by embedding and visualization for common source camera detection. Digit. Investig. 23 (2017)
Romulo Goncalves, Tom van Tilburg, Kostis Kyzirakos, Foteini Alvanaki, Panagiotis Koutsourakis, Ben van Werkhoven, Willem Robert van Hage
A spatial column-store to triangulate the Netherlands on the fly. SIGSPATIAL/GIS (2016)
F. Inti Pelupessy, Ben van Werkhoven, Arjen van Elteren, Jan Viebahn, Adam Candy, Simon Portegies Zwart, Henk A. Dijkstra
OMUSE: Oceanographic multipurpose software environment. eScience (2016)
Ben van Werkhoven, Pieter Hijma
An Integrated Approach to Porting Large Scientific Applications to GPUs. e-Science (2015)
Ben van Werkhoven, Jason Maassen, Frank J. Seinstra, Henri E. Bal
Performance Models for CPU-GPU Data Transfers. CCGRID (2014)
Ben van Werkhoven, Jason Maassen, Henri E. Bal, Frank J. Seinstra
Optimizing convolution operations on GPUs using adaptive tiling. Future Gener. Comput. Syst. 30 (2014)
Timo van Kessel, Ben van Werkhoven, Niels Drost, Jason Maassen, Henri E. Bal, Frank J. Seinstra
User transparent data and task parallel multimedia computing with Pyxis-DT. Future Gener. Comput. Syst. 29 (8) (2013)
Ben van Werkhoven, Jason Maassen, Frank J. Seinstra
Towards User Transparent Parallel Multimedia Computing on GPU-Clusters. ISCA Workshops (2010)