Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yury Brukau"'
Autor:
Michael Denker, Anna Lührs, Andrew P. Davison, Daniel Zielasko, Vahid Rostami, David Lester, Sacha J. van Albada, Bernd Schuller, Benjamin Weyers, Markus Diesmann, Olivier Amblet, Sonja Grün, Andrew Rowley, Johanna Senk, Alan B. Stokes, Pietro Quaglio, Yury Brukau, Alper Yegenoglu
Publikováno v:
Cham : Springer International Publishing, Lecture Notes in Computer Science 10164, 243-256 (2017). doi:10.1007/978-3-319-53862-4_21
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, JHPCS '16, Aachen, Germany, 2016-10-04-2016-10-05
Lecture Notes in Computer Science ISBN: 9783319538617
JHPCS
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High-Performance Scientific Computing
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 21 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium, JHPCS '16, Aachen, Germany, 2016-10-04-2016-10-05
Lecture Notes in Computer Science ISBN: 9783319538617
JHPCS
Lecture Notes in Computer Science
Lecture Notes in Computer Science-High-Performance Scientific Computing
Workflows for the acquisition and analysis of data in the natural sciences exhibit a growing degree of complexity and heterogeneity, are increasingly performed in large collaborative efforts, and often require the use of high-performance computing (H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433089b0439c2fce26d92b0241b7bda7
Autor:
Joe W. Graham, Julian C. Shillcock, Javier DeFelipe, Raphael Dumusc, Michael Gevaert, Christian Rössert, Guy Atenekeng, Idan Segev, Felix Schürmann, Jean-Denis Courcol, Rajnish Ranjan, Stanislaw Adaszewski, Padraig Gleeson, Juan Hernando, Henry Markram, Daniel Keller, Yury Katkov, Giuseppe Chindemi, Ying Shi, Nicolas Antille, Marwan Abdellah, Lida Kanari, Sean Hill, Athanassia Chalimourda, Ahmet Bilgili, Yury Brukau, Eilif Muller, Fabien Delalondre, Martin Telefont, Werner Van Geit, Yun Wang, Richard Walker, Michael W. Reimann, James G. King, Stefan Eilemann, Jeffrey Muller, Selim Arsever, Srikanth Ramaswamy, Stefano M. Zaninetta, Jafet Villafranca Diaz
Publikováno v:
Frontiers in Neural Circuits
Frontiers
Europe PubMed Central
Infoscience-École polytechnique fédérale de Lausanne
Frontiers in Neural Circuits, Vol 9 (2015)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Frontiers
Europe PubMed Central
Infoscience-École polytechnique fédérale de Lausanne
Frontiers in Neural Circuits, Vol 9 (2015)
Digital.CSIC. Repositorio Institucional del CSIC
instname
This work was supported by funding from the EPFL to the Laboratory of Neural Microcircuitry (LNMC), funding from the ETH Domain for the Blue Brain Project (BBP) and by funding to the Human Brain Project from the European Union Seventh Framework Progr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec4d060720d3cb16e95b2c86cb39dbe6
