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A massively parallel infrastructure for adaptive multiscale..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Di Natale, Francesco ; Bhatia, Harsh ; Carpenter, Timothy S.... - p. 1-16 , 2019

Link: https://dl.acm.org/doi/10.1145/3295500.3356197

RT 
T1 <cTitle>Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis</cTitle>: T1 <Title>A massively parallel infrastructure for adaptive multiscale simulations				: modeling RAS initiation pathway for cancer</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3356197&Exemplar=1&LAN=DE
				
A1 Di Natale, Francesco
A1 Bhatia, Harsh
A1 Carpenter, Timothy S.
A1 Neale, Chris
A1 Kokkila-Schumacher, Sara
A1 Oppelstrup, Tomas
A1 Stanton, Liam
A1 Zhang, Xiaohua
A1 Sundram, Shiv
A1 Scogland, Thomas R. W.
A1 Dharuman, Gautham
A1 Surh, Michael P.
A1 Yang, Yue
A1 Misale, Claudia
A1 Schneidenbach, Lars
A1 Costa, Carlos
A1 Kim, Changhoan
A1 D'Amora, Bruce
A1 Gnanakaran, Sandrasegaram
A1 Nissley, Dwight V.
A1 Streitz, Fred
A1 Lightstone, Felice C.
A1 Bremer, Peer-Timo
A1 Glosli, James N.
A1 Ingólfsson, Helgi I.
PB ACM
YR 2019
K1 adaptive simulations
K1 cancer research
K1 heterogenous architecture
K1 machine learning
K1 massively parallel
K1 multiscale simulations
K1 Computing methodologies
K1 Machine learning
K1 Modeling and simulation
K1 Simulation types and techniques
K1 Multiscale systems
K1 Applied computing
K1 Life and medical sciences
K1 Computational biology
K1 Simulation support systems
K1 Simulation tools
K1 Massively parallel and high-performance simulations
SP 1
OP 16
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3295500.3356197
DO https://dl.acm.org/doi/10.1145/3295500.3356197
SF ELIB - SuUB Bremen

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