TY  - CONF
AU  - Suarez, Estela
AU  - Kunkel, Susanne
AU  - Küsters, Anne
AU  - Plesser, Hans Ekkehard
AU  - Lippert, Thomas
TI  - Modular Supercomputing for Neuroscience
VL  - 12339
CY  - Cham
PB  - Springer International Publishing
M1  - FZJ-2019-06093
SN  - 978-3-030-82426-6 (print)
T2  - Lecture Notes in Computer Science
SP  - 63-80
PY  - 2021
AB  - The precise simulation of the human brain requires coupling different models in order to cover the different physiological and functional aspects of this extremely complex organ. Each of this brain models is implemented following specific mathematical and programming approaches, potentially leading to diverging computational behaviour and requirements. Such situation is the typical use case that can benefit from the Modular Supercomputing Architecture (MSA), which organizes heterogeneous computing resources at system level. This architecture and its corresponding software environment enable to run each part of an application or a workflow on the best suited hardware.This paper presents the MSA concept covering current hardware and software implementations, and describes how the neuroscientific workflow resulting of coupling the codes NEST and Arbor is being prepared to exploit the MSA.
T2  - BrainComp 2019 - Workshop on Brain-Inspired Computing
CY  - 15 Jul 2019 - 19 Jul 2019, Cetraro (Italy)
Y2  - 15 Jul 2019 - 19 Jul 2019
M2  - Cetraro, Italy
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1007/978-3-030-82427-3_5
UR  - https://juser.fz-juelich.de/record/867452
ER  -