neurongpu | Personal fork of NeuronGPU

 by   denniskb Python Version: Current License: GPL-3.0

kandi X-RAY | neurongpu Summary

kandi X-RAY | neurongpu Summary

neurongpu is a Python library. neurongpu has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However neurongpu build file is not available. You can download it from GitHub.

A GPU-MPI library for simulation of large-scale networks of spiking neurons. Can be used in Python, in C++ and in C. With this library it is possible to run relatively fast simulations of large-scale networks of spiking neurons. For instance, on a single Nvidia GeForce RTX 2080 Ti GPU board it is possible to simulate the activity of 1 million multisynapse AdEx neurons with 1000 synapse per neurons, for a total of 1 billion synapse, in little more than 100 seconds per second of neural activity. The MPI communication is also very efficient. The python interface is very similar to that of the NEST simulator: the most used commands are practically identical, dictionaries are used to define neurons, connections and synapsis properties in the same way. To start using it,, have a look at the examples in the python/examples and c++/examples folders.
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            kandi-support Support

              neurongpu has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              neurongpu has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of neurongpu is current.

            kandi-Quality Quality

              neurongpu has no bugs reported.

            kandi-Security Security

              neurongpu has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              neurongpu is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              neurongpu releases are not available. You will need to build from source code and install.
              neurongpu has no build file. You will be need to create the build yourself to build the component from source.

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            neurongpu Key Features

            No Key Features are available at this moment for neurongpu.

            neurongpu Examples and Code Snippets

            No Code Snippets are available at this moment for neurongpu.

            Community Discussions

            No Community Discussions are available at this moment for neurongpu.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install neurongpu

            You can download it from GitHub.
            You can use neurongpu like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/denniskb/neurongpu.git

          • CLI

            gh repo clone denniskb/neurongpu

          • sshUrl

            git@github.com:denniskb/neurongpu.git

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