Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Jason Maassen"'
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:
Arnold Kuzniar, Jason Maassen, Stefan Verhoeven, Luca Santuari, Carl Shneider, Wigard P. Kloosterman, Jeroen de Ridder
Publikováno v:
PeerJ, Vol 8, p e8214 (2020)
Structural variants (SVs) are an important class of genetic variation implicated in a wide array of genetic diseases including cancer. Despite the advances in whole genome sequencing, comprehensive and accurate detection of SVs in short-read data sti
Externí odkaz:
https://doaj.org/article/be0b73b1c8184320a840c760a5771949
The is the Launch presentation for the Research Software Directory (as a service), a content management system that is tailored to presenting research software online. Its main goal is to increase the visibility, impact and reuse of research software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3beb6f0b67f62c14d3c92bbc518d4fea
Autor:
Jason Maassen
This is a presentation on the Research Software Directory, presented at the FAIR Research Innovation Lunch at Utrecht University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cce1bf539308c08f549fb9fcc3167ca
Publikováno v:
Heldens, S, Hijma, P, Van Werkhoven, B, Maassen, J & Van Nieuwpoort, R V 2022, Lightning: Scaling the GPU Programming Model Beyond a Single GPU . in 2022 IEEE 36th International Parallel and Distributed Processing Symposium (IPDPS) : Proceedings . Institute of Electrical and Electronics Engineers Inc., pp. 492-503, 36th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2022, Virtual, Online, France, 30/05/22 . https://doi.org/10.1109/IPDPS53621.2022.00054
2022 IEEE 36th International Parallel and Distributed Processing Symposium (IPDPS): Proceedings, 492-503
STARTPAGE=492;ENDPAGE=503;TITLE=2022 IEEE 36th International Parallel and Distributed Processing Symposium (IPDPS)
2022 IEEE 36th International Parallel and Distributed Processing Symposium (IPDPS): Proceedings, 492-503
STARTPAGE=492;ENDPAGE=503;TITLE=2022 IEEE 36th International Parallel and Distributed Processing Symposium (IPDPS)
The GPU programming model is primarily aimed at the development of applications that run one GPU. However, this limits the scalability of GPU code to the capabilities of a single GPU in terms of compute power and memory capacity. To scale GPU applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c98a4688247447ede1cd402699d1c214
https://doi.org/10.1109/ipdps53621.2022.00054
https://doi.org/10.1109/ipdps53621.2022.00054
Publikováno v:
COMPUTING AND INFORMATICS; Vol. 39 No. 4 (2020): Computing and Informatics; 838–859
Computing and Informatics
Computing and Informatics
In this paper we discuss our efforts in "unlocking" the Long Term Archive (LTA) of the LOFAR radio telescope using the software ecosystem developed in the PROCESS project. The LTA is a large (>50 PB) archive that expands with about 7 PB per year by t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa692b72b3012fb4e025e6cbdc04a09a
https://www.cai.sk/ojs/index.php/cai/article/view/2020_4_838
https://www.cai.sk/ojs/index.php/cai/article/view/2020_4_838
Autor:
Stijn Heldens, Adam Belloum, Pieter Hijma, Ben van Werkhoven, Rob V. van Nieuwpoort, Jason Maassen
Publikováno v:
ACM Computing Surveys, 53(2):23. Association for Computing Machinery (ACM)
ACM Computing Surveys, 53(2):23, 1-43. Association for Computing Machinery (ACM)
Heldens, S, Hijma, P, Werkhoven, B V, Maassen, J, Belloum, A S Z & Van Nieuwpoort, R V 2020, ' The Landscape of Exascale Research : A Data-Driven Literature Analysis ', ACM Computing Surveys, vol. 53, no. 2, 23, pp. 1-43 . https://doi.org/10.1145/3372390
ACM Computing Surveys, 53(2):23, 1-43. Association for Computing Machinery (ACM)
Heldens, S, Hijma, P, Werkhoven, B V, Maassen, J, Belloum, A S Z & Van Nieuwpoort, R V 2020, ' The Landscape of Exascale Research : A Data-Driven Literature Analysis ', ACM Computing Surveys, vol. 53, no. 2, 23, pp. 1-43 . https://doi.org/10.1145/3372390
The next generation of supercomputers will break the exascale barrier. Soon we will have systems capable of at least one quintillion (billion billion) floating-point operations per second (10 18 FLOPS). Tremendous amounts of work have been invested i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be07bcae4cbfb6b94c3fc89746dbca80
https://doi.org/10.1145/3372390
https://doi.org/10.1145/3372390
Autor:
Rob V. van Nieuwpoort, Stijn Heldens, Pieter Hijma, Ben van Werkhoven, Henri E. Bal, Jason Maassen
Publikováno v:
Proceedings of SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis: virtual event, November 9-19, 2020
Proceedings of SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis
SC20: International Conference for High Performance Computing, Networking, Storage and Analysis
Heldens, S, Hijma, H P, van Werkhoven, B, Maassen, J, Bal, H & van Nieuwpoort, R 2021, Rocket: efficient and scalable all-pairs computations on heterogeneous platforms . in SC '20 : Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis . IEEE . https://doi.org/10.48550/arXiv.2009.04755, https://doi.org/10.1109/SC41405.2020.00105
SC20: International Conference for High Performance Computing, Networking, Storage and Analysis: [Proceedings]
SC
SC '20: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
SC '20
Heldens, S, Hijma, P, Werkhoven, B V, Maassen, J, Bal, H & Nieuwpoort, R V 2021, Rocket: Efficient and scalable all-pairs computations on heterogeneous platforms . in SC20: International Conference for High Performance Computing, Networking, Storage and Analysis : [Proceedings] ., 9355286, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, vol. 2020-November, IEEE Computer Society, 2020 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2020, Virtual, Atlanta, United States, 9/11/20 . https://doi.org/10.1109/SC41405.2020.00105
Proceedings of SC20: The International Conference for High Performance Computing, Networking, Storage and Analysis
SC20: International Conference for High Performance Computing, Networking, Storage and Analysis
Heldens, S, Hijma, H P, van Werkhoven, B, Maassen, J, Bal, H & van Nieuwpoort, R 2021, Rocket: efficient and scalable all-pairs computations on heterogeneous platforms . in SC '20 : Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis . IEEE . https://doi.org/10.48550/arXiv.2009.04755, https://doi.org/10.1109/SC41405.2020.00105
SC20: International Conference for High Performance Computing, Networking, Storage and Analysis: [Proceedings]
SC
SC '20: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
SC '20
Heldens, S, Hijma, P, Werkhoven, B V, Maassen, J, Bal, H & Nieuwpoort, R V 2021, Rocket: Efficient and scalable all-pairs computations on heterogeneous platforms . in SC20: International Conference for High Performance Computing, Networking, Storage and Analysis : [Proceedings] ., 9355286, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, vol. 2020-November, IEEE Computer Society, 2020 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2020, Virtual, Atlanta, United States, 9/11/20 . https://doi.org/10.1109/SC41405.2020.00105
All-pairs compute problems apply a user-defined function to each combination of two items of a given data set. Although these problems present an abundance of parallelism, data reuse must be exploited to achieve good performance. Several researchers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a13a792b7ba65e0faf0dcb66749ffd47
https://hdl.handle.net/11245.1/fa60aa10-8c75-4c2f-8a2b-a02ac75ca132
https://hdl.handle.net/11245.1/fa60aa10-8c75-4c2f-8a2b-a02ac75ca132
Autor:
Štefan Dlugolinský, Maximilian Höb, Bartosz Wilk, Jörg Pancake-Steeg, Martin Bobák, Stefan Spahr, Reginald Cushing, Adam Belloum, Marian Bubak, Jason Maassen, Nils gentschen Felde, Ladislav Hluchý, Ondrej Habala, Piotr Nowakowski, Viet Tran, H. Spreeuw, Giang Nguyen, Jan Schmidt, Martin Seleng, Henning Müller, Matti Heikkurinen, Jan Meizner, Mara Graziani, Katarzyna Rycerz
Publikováno v:
Recent Advances in Intelligent Engineering-Volume Dedicated to Imre J. Rudas’ Seventieth Birthday
Recent Advances in Intelligent Engineering ISBN: 9783030143497
Topics in Intelligent Engineering and Informatics
Topics in Intelligent Engineering and Informatics-Recent Advances in Intelligent Engineering
Recent Advances in Intelligent Engineering ISBN: 9783030143497
Topics in Intelligent Engineering and Informatics
Topics in Intelligent Engineering and Informatics-Recent Advances in Intelligent Engineering
Exascale services bring new unique challenges that the current computational, big data and workflow solutions are unable to meet. The chapter includes a detailed description of selected exascale services with known state of the art in extreme date so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b05178b65dee3ba01753258dc32cebcc
Autor:
Jason Maassen, Ceriel J. H. Jacobs, Henri E. Bal, Zeno Geradts, Pieter Hijma, B. van Werkhoven
Publikováno v:
van Werkhoven, B, Hijma, P, Jacobs, C J H, Maassen, J, Geradts, Z J M H & Bal, H E 2018, ' A Jungle Computing approach to common image source identification in large collections of images ', Digital Investigation, vol. 27, pp. 3-16 . https://doi.org/10.1016/j.diin.2018.09.002
Digital Investigation, 27, 3-16. Elsevier
Digital Investigation, 27, 3-16. Elsevier
Analyzing digital images is an important investigation in forensics with the ever increasing number of images from computers and smartphones. In this article we aim to advance the state-of-the-art in common image source identification (which images o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d89562dbf505cad1001eeab59e0ab46
https://hdl.handle.net/1871.1/e1df3d1b-8cc1-476c-9901-0b226975b7e3
https://hdl.handle.net/1871.1/e1df3d1b-8cc1-476c-9901-0b226975b7e3