Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ben van Werkhoven"'
Autor:
Stijn Heldens, Alessio Sclocco, Henk Dreuning, Ben van Werkhoven, Pieter Hijma, Jason Maassen, Rob V. van Nieuwpoort
Publikováno v:
SoftwareX, Vol 20, Iss , Pp 101207- (2022)
Researchers are often faced with exploring new research domains. Broad questions about the research domain, such as who are the influential authors or what are important topics, are difficult to answer due to the overwhelming number of relevant publi
Externí odkaz:
https://doaj.org/article/8b0e0d5ce055479f84b0d3f684a56a3c
Autor:
Hamidreza Heydarian, Maarten Joosten, Adrian Przybylski, Florian Schueder, Ralf Jungmann, Ben van Werkhoven, Jan Keller-Findeisen, Jonas Ries, Sjoerd Stallinga, Mark Bates, Bernd Rieger
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Adaptation of current algorithms to 3D SMLM data is currently problematic. Here the authors report a method that increases the signal-to-noise ratio and resolution of 3D single particle analysis in localization microscopy and enables determination of
Externí odkaz:
https://doaj.org/article/d17ad19811dd4f2a9819d5862675ea69
Autor:
Hamidreza Heydarian, Maarten Joosten, Adrian Przybylski, Florian Schueder, Ralf Jungmann, Ben van Werkhoven, Jan Keller-Findeisen, Jonas Ries, Sjoerd Stallinga, Mark Bates, Bernd Rieger
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/ff6179343d3f407786fea18fa2c16abd
Publikováno v:
ACM Computing Surveys, 55(11):239, 1-81. Association for Computing Machinery (ACM)
Hijma, P, Heldens, S, Sclocco, A, Van Werkhoven, B & Bal, H E 2023, ' Optimization Techniques for GPU Programming ', ACM Computing Surveys, vol. 55, no. 11, 239, pp. 1-81 . https://doi.org/10.1145/3570638
Hijma, P, Heldens, S, Sclocco, A, Van Werkhoven, B & Bal, H E 2023, ' Optimization Techniques for GPU Programming ', ACM Computing Surveys, vol. 55, no. 11, 239, pp. 1-81 . https://doi.org/10.1145/3570638
In the past decade, Graphics Processing Units have played an important role in the field of high-performance computing and they still advance new fields such as IoT, autonomous vehicles, and exascale computing. It is therefore important to understand
Autor:
Rolf Hut, Banafsheh Abdollahi, Martine de Vos, Maarten van Meersbergen, Ronald van Haren, Niels Drost, Stefan Verhoeven, Bouwe Andela, Inti Pelupessy, Ben van Werkhoven, Nick van de Giesen, Yifat Dzigan, Fakhereh Alidoost, Gijs van den Oord, Thomas Albers, Peter Kalverla, Jerom Aerts, Eric W. H. Hutton, Jaro Camphuijsen, Stef Smeets, Berend Weel
Publikováno v:
Geoscientific Model Development, 15(13)
Hutton et al. (2016) argued that computational hydrology can only be a proper science if the hydrological community makes sure that hydrological model studies are executed and presented in a reproducible manner. Hut, Drost and van de Giesen replied t
Autor:
Alessio Sclocco, Gijs van den Oord, Graziano Giuliani, Ivan Girotto, Erwan Raffin, Ben van Werkhoven
Within the ESiWACE-2 project, a work package was dedicated toward providing services to the European earth system modeling community; the primary aspect of these services was the advancement of weather and climate model components towards exascale ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::469c07cd937ed778585323f7cf8d92c3
https://doi.org/10.5194/egusphere-egu23-7333
https://doi.org/10.5194/egusphere-egu23-7333
Autor:
Rolf Hut, Jerom Aerts, Pau Wiersma, Vincent Hoogelander, Nick van de Giesen, Niels Drost, Peter Kalverla, Ben van Werkhoven, Stefan Verhoeven, Fakhereh (Sarah) Alidoost, Barbara Vreede, Yang Liu
The eWaterCycle platform introduced in 2022 (https://doi.org/10.5194/gmd-15-5371-2022) provides hydrologists with an online platform to conduct numerical studies involving hydrological models. It allows hydrologists to work with each other's data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c54749d2f1cde2b343b3f65b12f0ed4
https://doi.org/10.5194/egusphere-egu23-5702
https://doi.org/10.5194/egusphere-egu23-5702
Autor:
Ben van Werkhoven
Graphics Processing Units (GPUs) have revolutionized the computing landscape in the past decade and are seen as one of enabling factors in recent breakthroughs in Artificial Intelligence. However, it is very difficult to unlock to full computational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::720e58d53f070c968a36a0239a7d0e71
Autor:
Ben van Werkhoven
Graphics Processing Units (GPUs) have revolutionized the computing landscape over the past decades. However, the growing energy demands of data centres and computing facilities equipped with GPUs come with significant capital and environmental costs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06961036a1bae1a97ee950d20bbbd579
Publikováno v:
IEEE Transactions on Evolutionary Computation
Recent years have witnessed phenomenal growth in the application, and capabilities of Graphical Processing Units (GPUs) due to their high parallel computation power at relatively low cost. However, writing a computationally efficient GPU program (ker