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2020 – today
- 2024
[j12]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: 489-504 (2024)- [c20]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. Euro-Par (1) 2024: 91-106 - [c19]Jana Hozzová, Jacob O. Tørring, Ben van Werkhoven, David Strelák, Richard W. Vuduc:
FAIR Sharing of Data in Autotuning Research (Vision Paper). ICPE (Companion) 2024: 21-27 - [i10]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 abs/2407.11488 (2024) - 2023
- [j11]Pieter Hijma, Stijn Heldens, Alessio Sclocco, Ben van Werkhoven, Henri E. Bal:
Optimization Techniques for GPU Programming. ACM Comput. Surv. 55(11): 239:1-239:81 (2023) - [j10]Richard Arnoud Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg:
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. IEEE Trans. Evol. Comput. 27(3): 550-564 (2023) - [c18]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: 724-733 - [c17]Stijn Heldens, Ben van Werkhoven:
Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications. IPDPS Workshops 2023: 744-753 - [i9]Jacob O. Tørring, Ben van Werkhoven, Filip Petrovic, Floris-Jan Willemsen, Jiri Filipovic, Anne C. Elster:
Towards a Benchmarking Suite for Kernel Tuners. CoRR abs/2303.08976 (2023) - [i8]Stijn Heldens, Ben van Werkhoven:
Kernel Launcher: C++ Library for Optimal-Performance Portable CUDA Applications. CoRR abs/2303.12374 (2023) - 2022
- [j9]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: 101207 (2022) - [c16]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: 492-503 - [c15]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: 48-59 - [d3]Simon Hettrick, Radovan Bast, Steve Crouch, Claire Wyatt, Olivier Philippe, Alex Botzki, Jeff Carver, Ian A. Cosden, Florencia D'Andrea, Abhishek Dasgupta, William Godoy, Alejandra N. González-Beltrán, Ulf Hamster, Scott Henwood, Patric Holmvall, Stephan Janosch, Thibault Lestang, Nick May, Johan Philips, Nooriyah Poonawala-Lohani, Paul Richmond, Manodeep Sinha, Florian Thiery, Ben van Werkhoven, Qian Zhang:
International RSE Survey 2022. Zenodo, 2022
- [i7]Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Jason Maassen, Rob V. van Nieuwpoort:
Lightning: Scaling the GPU Programming Model Beyond a Single GPU. CoRR abs/2202.05549 (2022) - [i6]Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg:
Benchmarking optimization algorithms for auto-tuning GPU kernels. CoRR abs/2210.01465 (2022) - [i5]Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg:
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. CoRR abs/2211.07260 (2022) - 2021
- [j8]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): 23:1-23:43 (2021) - [c14]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: 136-138 - [c13]Floris-Jan Willemsen, Rob van Nieuwpoort, Ben van Werkhoven:
Bayesian Optimization for auto-tuning GPU kernels. PMBS 2021: 106-117 - [i4]Floris-Jan Willemsen, Rob van Nieuwpoort, Ben van Werkhoven:
Bayesian Optimization for auto-tuning GPU kernels. CoRR abs/2111.14991 (2021) - 2020
- [j7]Alessio Sclocco, Stijn Heldens, Ben van Werkhoven:
AMBER: A real-time pipeline for the detection of single pulse astronomical transients. SoftwareX 12: 100549 (2020) - [c12]Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco:
Lessons Learned in a Decade of Research Software Engineering GPU Applications. ICCS (7) 2020: 399-412 - [c11]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: 101 - [i3]Ben van Werkhoven, Willem Jan Palenstijn, Alessio Sclocco:
Lessons learned in a decade of research software engineering GPU applications. CoRR abs/2005.13227 (2020) - [i2]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 abs/2009.04755 (2020) - [i1]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 abs/2009.14643 (2020)
2010 – 2019
- 2019
- [j6]Ben van Werkhoven:
Kernel Tuner: A search-optimizing GPU code auto-tuner. Future Gener. Comput. Syst. 90: 347-358 (2019) - [c10]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: 379-392 - [d2]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, Nooriyah P. Lohani, Manodeep Sinha:
softwaresaved/international-survey: Public release for 2018 results. Zenodo, 2019 - 2018
- [j5]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: 3-16 (2018) - [c9]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: 23-24 - [c8]Ben van Werkhoven, Tom Bakker, Olivier Philippe, Simon Hettrick:
Survey on Research Software Engineering in the Netherlands. eScience 2018: 38-39 - [c7]Ben van Werkhoven, Adriënne Mendrik, Rob van Nieuwpoort:
Poster Abstracts eScience 2018 Conference. eScience 2018: 349 - [c6]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: 374 - [d1]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:
softwaresaved/international-survey: Public release for 2017 results. Zenodo, 2018 - 2017
- [j4]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) - [j3]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: 22-30 (2017) - 2016
- [c5]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: 399 - [c4]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: 80:1-80:4 - 2015
- [c3]Ben van Werkhoven, Pieter Hijma:
An Integrated Approach to Porting Large Scientific Applications to GPUs. e-Science 2015: 57-66 - 2014
- [j2]Ben van Werkhoven, Jason Maassen, Henri E. Bal, Frank J. Seinstra:
Optimizing convolution operations on GPUs using adaptive tiling. Future Gener. Comput. Syst. 30: 14-26 (2014) - [c2]Ben van Werkhoven, Jason Maassen, Frank J. Seinstra, Henri E. Bal:
Performance Models for CPU-GPU Data Transfers. CCGRID 2014: 11-20 - 2013
- [j1]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): 2252-2261 (2013) - 2010
- [c1]Ben van Werkhoven, Jason Maassen, Frank J. Seinstra:
Towards User Transparent Parallel Multimedia Computing on GPU-Clusters. ISCA Workshops 2010: 28-39
Coauthor Index
aka: Rob V. van Nieuwpoort
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last updated on 2024-10-28 21:14 CET by the dblp team
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