Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Frank J. Seinstra"'
Publikováno v:
High-Performance Computing on Complex Environments
Despite the immense performance of modern computing systems, many scientific problems are of such complexity and scale that a wide variety of computing hardware must be employed concurrently. Moreover, as the required hardware often is not available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bab7b751c3d3193cc5a3eebb744e96d
https://doi.org/10.1002/9781118711897.ch21
https://doi.org/10.1002/9781118711897.ch21
Autor:
M. van Meersbergen, Jason Maassen, Frank J. Seinstra, Sandra-Esther Brunnabend, Henri E. Bal, M. A. Kliphuis, Henk A. Dijkstra, B. van Werkhoven
Publikováno v:
van Werkhoven, B J C, Kliphuis, M, Dijkstra, H A, Brunnabend, S A, van Meersbergen, M A J, Seinstra, F J & Bal, H E 2014, ' A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1) ', Geoscientific Model Development Discussions, vol. 7, pp. 267-281 . https://doi.org/10.5194/gmd-7-267-2014
Geoscientific Model Development, Vol 7, Iss 1, Pp 267-281 (2014)
Geoscientific Model Development Discussions, 7, 267-281. Copernicus Publications
Geoscientific Model Development, Vol 7, Iss 1, Pp 267-281 (2014)
Geoscientific Model Development Discussions, 7, 267-281. Copernicus Publications
The Parallel Ocean Program (POP) is used in many strongly eddying ocean circulation simulations. Ideally it would be desirable to be able to do thousand-year-long simulations, but the current performance of POP prohibits these types of simulations. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d13d5879c1382b7927e47dfbe5aaed48
https://hdl.handle.net/1871.1/2bddb044-0e44-48ae-a1a9-a0102bcd55f8
https://hdl.handle.net/1871.1/2bddb044-0e44-48ae-a1a9-a0102bcd55f8
Autor:
Ben van Werkhoven, Jason Maassen, Frank J. Seinstra, Niels Drost, Timo van Kessel, Henri E. Bal
Publikováno v:
van Kessel, T P, van Werkhoven, B, Drost, N, Maassen, J, Bal, H E & Seinstra, F J 2013, ' User transparent data and task parallel multimedia computing with Pyxis-DT ', Future Generation Computer Systems, vol. 29, pp. 2252-2261 . https://doi.org/10.1016/j.future.2013.06.005
Future Generation Computer Systems, 29, 2252-2261. Elsevier
Future Generation Computer Systems, 29, 2252-2261. Elsevier
The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of knowledge from multimedia archives and data streams. To satisfy the increasing computational demands of emerging MMCA problems, there is an u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5da1c39c078c61794e69893f71a61417
https://doi.org/10.1016/j.future.2013.06.005
https://doi.org/10.1016/j.future.2013.06.005
Autor:
J. W. Romein, Rob V. van Nieuwpoort, Henri E. Bal, Cees de Laat, Harry A. G. Wijshoff, Frank J. Seinstra, Dick Epema, Cees G. M. Snoek
Publikováno v:
Computer, 49(5), 54-63. IEEE
Bal, H E, Epema, D, de Laat, C, van Nieuwpoort, R V, Romein, J, Seinstra, F J, Snoek, C & Wijshoff, H 2016, ' A Medium-Scale Distributed System for Computer Science Research: Infrastructure for the Long Term ', Computer, vol. 49, no. 5, pp. 54-63 . https://doi.org/10.1109/MC.2016.127
Computer, 49(5), 54-63. IEEE Computer Society
Bal, H E, Epema, D, de Laat, C, van Nieuwpoort, R V, Romein, J, Seinstra, F J, Snoek, C & Wijshoff, H 2016, ' A Medium-Scale Distributed System for Computer Science Research: Infrastructure for the Long Term ', Computer, vol. 49, no. 5, pp. 54-63 . https://doi.org/10.1109/MC.2016.127
Computer, 49(5), 54-63. IEEE Computer Society
The Dutch Advanced School for Computing and Imaging has built five generations of a 200-node distributed system over nearly two decades while remaining aligned with the shifting computer science research agenda. The system has supported years of awar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::160dd63fdcc0ca545cbd3f0a798848e7
https://hdl.handle.net/1887/3197691
https://hdl.handle.net/1887/3197691
Publikováno v:
Concurrency and Computation: Practice and Experience. 25:24-39
The Semantic Web contains many billions of statements, which are released using the resource description framework (RDF) data model. To better handle these large amounts of data, high performance RDF applications must apply a compression technique. U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a8cc4240a860d89bd72bc75fd78bcf4
https://doi.org/10.1002/cpe.2840
https://doi.org/10.1002/cpe.2840
Publikováno v:
Yang, R, van der Mei, R D, Roubos, D, Seinstra, F J & Bal, H E 2012, ' Resource Optimization in Distributed Real-Time Multimedia Applications ', Multimedia Tools and Applications, vol. 59, no. 3, pp. 941-971 . https://doi.org/10.1007/s11042-011-0782-5
Multimedia Tools and Applications, 59(3), 941-971. Springer Netherlands
Multimedia Tools and Applications, 59(3), 941-971
Multimedia Tools and Applications, 59(3), 941-971. Springer Netherlands
Multimedia Tools and Applications, 59(3), 941-971
The research area of multimedia content analysis (MMCA) considers all aspects of the automated extraction of knowledge from multimedia archives and data streams. To adhere to strict time constraints, large-scalemultimedia applications typically are b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ff8466fda3ca66c426868a4f157aee
https://doi.org/10.1007/s11042-011-0782-5
https://doi.org/10.1007/s11042-011-0782-5
Publikováno v:
Concurrency and Computation: Practice and Experience. 23:1506-1521
The inherent complex nature of current distributed computing architectures hinders the widespread adoption of these systems for mainstream use. In general, users have access to a highly heterogeneous set of compute resources, which may include cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::043ce71dccc2eb0556d123254a80b02c
https://doi.org/10.1002/cpe.1713
https://doi.org/10.1002/cpe.1713
Autor:
Niels Drost, Frank J. Seinstra, Rob V. van Nieuwpoort, Kees Verstoep, Jason Maassen, Timo van Kessel, Gosia Wrzesinska, Kees van Reeuwijk, Roelof Kemp, Ceriel J. H. Jacobs, Thilo Kielmann, Nicholas Palmer, Henri E. Bal
Publikováno v:
Computer, 43(8), 54-62. IEEE
Bal, H E, Maassen, J, van Nieuwpoort, R V, Drost, N, Kemp, R, Palmer, N O, Wrzesinska, G, Kielmann, T, Seinstra, F J & Jacobs, C J H 2010, ' Real-World Distributed Computing with Ibis ', Computer, vol. 43, no. 8, pp. 54-62 . https://doi.org/10.1109/mc.2010.184
Bal, H E, Maassen, J, van Nieuwpoort, R V, Drost, N, Kemp, R, Palmer, N O, Wrzesinska, G, Kielmann, T, Seinstra, F J & Jacobs, C J H 2010, ' Real-World Distributed Computing with Ibis ', Computer, vol. 43, no. 8, pp. 54-62 . https://doi.org/10.1109/mc.2010.184
The use of parallel and distributed computing systems is essential to meet the ever-increasing computational demands of many scientific and industrial applications. Ibis allows easy programming and deployment of compute-intensive distributed applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b2cf9b61f4383e03fe24ae7325959d9
https://doi.org/10.1109/mc.2010.184
https://doi.org/10.1109/mc.2010.184
Autor:
Dennis C. Koelma, Arnold W. M. Smeulders, Cees G. M. Snoek, Marcel Worring, Jan-Mark Geusebroek, Frank J. Seinstra
Publikováno v:
IEEE Multimedia. 14:64-75
As the world uses more digital video that requires greater storage space, grid computing is becoming indispensable for urgent problems in multimedia content analysis. Parallel-Horus, a support tool for applications in multimedia grid computing, lets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e64daac378f3fe939c922ed9e1dfcd6d
https://doi.org/10.1109/mmul.2007.74
https://doi.org/10.1109/mmul.2007.74
Autor:
Daniele D'Agostino, Frank J. Seinstra
Publikováno v:
Journal of computational and applied mathematics 273 (2015): 383–393. doi:10.1016/j.cam.2014.05.019
info:cnr-pdr/source/autori:D. D'Agostino and F.J. Seinstra/titolo:A parallel isosurface extraction component for visualization pipelines executing on GPU clusters/doi:10.1016%2Fj.cam.2014.05.019/rivista:Journal of computational and applied mathematics/anno:2015/pagina_da:383/pagina_a:393/intervallo_pagine:383–393/volume:273
info:cnr-pdr/source/autori:D. D'Agostino and F.J. Seinstra/titolo:A parallel isosurface extraction component for visualization pipelines executing on GPU clusters/doi:10.1016%2Fj.cam.2014.05.019/rivista:Journal of computational and applied mathematics/anno:2015/pagina_da:383/pagina_a:393/intervallo_pagine:383–393/volume:273
Isosurface extraction is a fundamental operation for the analysis and visualization of 3D scalar fields, and the marching cubes technique is the de facto standard to implement it. The processing of large datasets can be a very time-consuming task, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba0db00ce513ad3c549b7ca80e7edded