The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code

The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code

NEST is a simulator for spiking neuronal networks that commits to a general purpose approach: It allows for high flexibility in the design of network models, and its applications range from small-scale simulations on laptops to brain-scale simulations on supercomputers. Hence, developers need to tes...

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Bibliographic Details
Main Authors: Susanne Kunkel, Wolfram Schenck
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-06-01
Series:Frontiers in Neuroinformatics
Subjects:
profiling
performance analysis
memory footprint
high-performance computing
supercomputer
large-scale simulation
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00040/full

Internet

http://journal.frontiersin.org/article/10.3389/fninf.2017.00040/full

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