TY  - CONF
AU  - Akar, Nora Abi
AU  - Cumming, Ben
AU  - Karakasis, Vasileios
AU  - Kusters, Anne
AU  - Klijn, Wouter
AU  - Peyser, Alexander
AU  - Yates, Stuart
TI  - Arbor — A Morphologically-Detailed Neural Network Simulation Library for Contemporary High-Performance Computing Architectures
PB  - IEEE
M1  - FZJ-2019-02058
SN  - 978-1-7281-1644-0
SP  - 274-282
PY  - 2019
AB  - We introduce Arbor, a performance portable library for simulation of large networks of multi-compartment neurons on HPC systems. Arbor is open source software, developed under the auspices of the HBP. The performance portability is by virtue of back-end specific optimizations for x86 multicore, Intel KNL, and NVIDIA GPUs. When coupled with low memory overheads, these optimizations make Arbor an order of magnitude faster than the most widely-used comparable simulation software. The single-node performance can be scaled out to run very large models at extreme scale with efficient weak scaling.Keywords: HPC;GPU;neuroscience;neuron;software
T2  - 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
CY  - 13 Feb 2019 - 15 Feb 2019, Pavia (Italy)
Y2  - 13 Feb 2019 - 15 Feb 2019
M2  - Pavia, Italy
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
UR  - <Go to ISI:>//WOS:000467257000039
DO  - DOI:10.1109/EMPDP.2019.8671560
UR  - https://juser.fz-juelich.de/record/861612
ER  -