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ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale (validation data)

Authors: Alessandro Cattabiani;

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale (validation data)

Abstract

Research reported in this publication was supported by the Okinawa Institute of Science and Technology Graduate University (OIST) and funding to the Blue Brain Project, a research center of the École poly- technique fédérale de Lausanne (EPFL), from the Swiss government's ETH Board of the Swiss Federal Institutes of Technology and the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).

Raw and refined data for the validation tests performed in the paper "STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale": - rallpack 1, analytical, STEPS3, STEPS4, mesh scaling with STEPS4. It is so simple that I provide only the raw data. The space saving using refined data is minimal - rallpack 3, STEPS 3, STEPS 4. Both raw and refined data are provided. - caburst, STEPS 3, STEPS 4. Both raw and refined data are provided.

Keywords

HPC, Supercomputing, STEPS, Stochastic Simulation, Molecular Neuroscience

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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