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| 001 | 916254 | ||
| 005 | 20230104121219.0 | ||
| 037 | _ | _ | |a FZJ-2022-06055 |
| 100 | 1 | _ | |a Kanzl, Lea Sophie |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a An applied waveform relaxation method for distributed gap junctions in the Arbor simulation library |f - 2022-08-15 |
| 260 | _ | _ | |c 2022 |
| 300 | _ | _ | |a 48 |
| 336 | 7 | _ | |a Output Types/Supervised Student Publication |2 DataCite |
| 336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
| 336 | 7 | _ | |a MASTERSTHESIS |2 BibTeX |
| 336 | 7 | _ | |a masterThesis |2 DRIVER |
| 336 | 7 | _ | |a Master Thesis |b master |m master |0 PUB:(DE-HGF)19 |s 1672830680_22540 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a SUPERVISED_STUDENT_PUBLICATION |2 ORCID |
| 502 | _ | _ | |a Masterarbeit, RWTH Aachen, 2022 |c RWTH Aachen |b Masterarbeit |d 2022 |
| 520 | _ | _ | |a With morphologically detailed neurons at the forefront, the Arbor simulation library provides a framework for the simulation of large-scale spiking neural networks. Simulating the temporal behaviour of a neuron’s biophysical properties is heavily dependent on the implementation of connectivity between neurons via synapses and gap junctions. While the former intrinsically induce a signal delay, the latter implement an instantaneous influence on a cell’s membrane potential, calling for state updates in every time step during a simulation. Due to high levels of paral- lelization, the zero-delay communication of such state vectors across processes with MPI would be highly inefficient. The aim of this thesis is to implement and evalu- ate Waveform Relaxation as a method to iteratively solve systems of gap-junction- coupled neurons without the requirement of continuous data exchange across processes. |
| 536 | _ | _ | |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5111 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |f H2020-SGA-FETFLAG-HBP-2019 |x 1 |
| 536 | _ | _ | |a SLNS - SimLab Neuroscience (Helmholtz-SLNS) |0 G:(DE-Juel1)Helmholtz-SLNS |c Helmholtz-SLNS |x 2 |
| 909 | C | O | |p extern4vita |o oai:juser.fz-juelich.de:916254 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5111 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 920 | _ | _ | |l yes |
| 980 | 1 | _ | |a EXTERN4VITA |
| 980 | _ | _ | |a master |
| 980 | _ | _ | |a EDITORS |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
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