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Early experiences in developing and managing the neuroscience gateway.

Subhashini Sivagnanam1, Amit Majumdar1, Kenneth Yoshimoto1

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Computational neuroscientists can now access high-performance computing resources more easily thanks to the Neuroscience Gateway. This platform simplifies complex interfaces and data management for neuronal simulations.

Keywords:
NEURONcomputational neurosciencehigh performance computingscience gateway

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Area of Science:

  • Computational Neuroscience
  • Neuroscience
  • High-Performance Computing

Background:

  • Computational neuroscience research requires high-performance computing (HPC) for modeling complex neuronal systems.
  • Existing neuronal simulation tools are designed for parallel computers but are challenging to access and use on HPC machines due to administrative and technical barriers.

Purpose of the Study:

  • To introduce the Neuroscience Gateway, a system designed to simplify access to HPC resources for computational neuroscientists.
  • To describe the software architecture, implementation, and user accessibility of the Neuroscience Gateway.

Main Methods:

  • Development of the Neuroscience Gateway to abstract away HPC complexities.
  • Implementation of job management, data handling, and retrieval functionalities.
  • Analysis of parallel scaling for neuronal models and gateway usage data.

Main Results:

  • The Neuroscience Gateway successfully simplifies the use of HPC for computational neuroscience research.
  • Early experiences indicate improved accessibility and usability of complex simulation tools.
  • Analysis of usage data and model scaling provides insights into gateway performance.

Conclusions:

  • The Neuroscience Gateway effectively removes barriers to entry for computational neuroscientists.
  • It enhances the accessibility and utilization of HPC resources for neuronal simulations.
  • The gateway facilitates advanced computational neuroscience research by simplifying infrastructure challenges.