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| 001 | 281631 | ||
| 005 | 20210131030517.0 | ||
| 020 | _ | _ | |a 9783319120843 |
| 020 | _ | _ | |a 978-3-319-12083-6 |
| 024 | 7 | _ | |a 10.1007/978-3-319-12084-3 |2 doi |
| 024 | 7 | _ | |a GVK:79948850X |2 GVK |
| 024 | 7 | _ | |a WOS:000345024600016 |2 WOS |
| 024 | 7 | _ | |a altmetric:15863282 |2 altmetric |
| 037 | _ | _ | |a FZJ-2016-01320 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 004.0151 |
| 100 | 1 | _ | |a Lippert, Thomas |0 P:(DE-Juel1)132179 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Brain-Inspired Computing, International Workshop, BrainComp 2013 |g BrainComp 2013 |c Cetraro |d 2013-07-08 - 2013-07-11 |w Italy |
| 245 | _ | _ | |a Supercomputing Infrastructure for Simulations of the Human Brain |
| 260 | _ | _ | |a Cham [u.a.] |c 2014 |b Springer |
| 295 | 1 | 0 | |a Brain-inspired computing : international workshop, BrainComp 2013, Cetraro, Italy, July 8 - 11, 2013 ; revised selected papers / Grandinetti, Lucio ; Lippert, Thomas ; Petkov, Nicolai , Cham [u.a.] : Springer, 2014, |
| 300 | _ | _ | |a 198 - 212 |
| 336 | 7 | _ | |a Contribution to a conference proceedings |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |m contrib |
| 336 | 7 | _ | |a BOOK_CHAPTER |2 ORCID |
| 336 | 7 | _ | |a Book Section |0 7 |2 EndNote |
| 336 | 7 | _ | |a bookPart |2 DRIVER |
| 336 | 7 | _ | |a INBOOK |2 BibTeX |
| 336 | 7 | _ | |a Output Types/Book chapter |2 DataCite |
| 336 | 7 | _ | |a Contribution to a book |b contb |m contb |0 PUB:(DE-HGF)7 |s 1563262936_1091 |2 PUB:(DE-HGF) |
| 490 | 0 | _ | |a Lecture notes in computer science |v 8603 |
| 520 | _ | _ | |a Decoding the human brain is considered as one of the greatest challenges faced by 21st century science. Advancing brain research by simulating the full human brain promises to provide profound insights into its complex functionality and into what makes us human. These insights will help to understand brain diseases and to develop novel treatments.Modern high performance computing technology not only allows to bring these goals into focus, it might itself be transformed profoundly being guided towards the exascale and beyond. On the one hand, information and communication technology (ICT) provides us with a completely new understanding of the brain and its diseases. On the other hand, this understanding of the brain will lead inevitably to brain inspired, radical innovation in computing. In particular, the Human Brain Project, one of the two EU Flagship research projects, will require data-intensive HPC at an extreme scale and fully interactive visualization and steering capabilities. Eventually, revolutionary new computing technologies, so-called neuromorphic devices, are expected to become reality.The following contribution outlines the plans for the HBP’s High Performance Computing (HPC) platform. A central brain simulation system at Jülich Research Centre, Germany, is planned to be operated as a user facility. It will provide the optimized hardware-software environment running a full virtual human brain model. Neuroscientists will be enabled to carry out in-silico experiments based on this model. The platform will be complemented by a software development system at CSCS in Lugano, Switzerland, and a third system will be running efficient molecular-level simulations at BSC in Barcelona, Spain. Finally, a system adapted to support massive data analytics will be hosted at CINECA in Bologna, Italy. During the ramp-up phase of the project (2013-2916), the HBP will link with PRACE institutions that have expressed their interest in adding in-kind support to the Platform and will try to motivate PRACE to establish programmatic access to PRACE systems, in order to allow peer-reviewed usage of the entire European Tier-0 capability. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 536 | _ | _ | |a HBP - The Human Brain Project (604102) |0 G:(EU-Grant)604102 |c 604102 |f FP7-ICT-2013-FET-F |x 1 |
| 536 | _ | _ | |a SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) |0 G:(DE-Juel1)HGF-SMHB-2013-2017 |c HGF-SMHB-2013-2017 |f SMHB |x 2 |
| 536 | _ | _ | |a SLNS - SimLab Neuroscience (Helmholtz-SLNS) |0 G:(DE-Juel1)Helmholtz-SLNS |c Helmholtz-SLNS |x 3 |
| 588 | _ | _ | |a Dataset connected to GVK |
| 700 | 1 | _ | |a Orth, Boris |0 P:(DE-Juel1)132215 |b 1 |u fzj |
| 773 | _ | _ | |a 10.1007/978-3-319-12084-3 |
| 909 | C | O | |o oai:juser.fz-juelich.de:281631 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)132179 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)132215 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2015 |
| 915 | _ | _ | |a No Authors Fulltext |0 StatID:(DE-HGF)0550 |2 StatID |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 920 | 1 | _ | |0 I:(DE-82)080012_20140620 |k JARA-HPC |l JARA - HPC |x 1 |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-82)080012_20140620 |
| 980 | _ | _ | |a UNRESTRICTED |
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