pynuma | Python3 Interface to numa Linux library

 by   eedalong Python Version: 1.0 License: MIT

kandi X-RAY | pynuma Summary

kandi X-RAY | pynuma Summary

pynuma is a Python library. pynuma has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pynuma' or download it from GitHub, PyPI.

Python3 Interface to numa Linux library
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            kandi-support Support

              pynuma has a low active ecosystem.
              It has 8 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pynuma is 1.0

            kandi-Quality Quality

              pynuma has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pynuma is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pynuma releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pynuma and discovered the below as its top functions. This is intended to give you an instant insight into pynuma implemented functionality, and help decide if they suit your requirements.
            • Return information about the numa hardware
            • Return a list of CPU cores
            • Return the number of configured nodes
            • Return the distance between two nodes
            • Reads the content of a file
            • Run on the given PID
            • Run the program on the given CPUs
            • Run all nodes on all nodes
            • Runs the program on the specified nodes
            Get all kandi verified functions for this library.

            pynuma Key Features

            No Key Features are available at this moment for pynuma.

            pynuma Examples and Code Snippets

            Usage,Info
            Pythondot img1Lines of Code : 6dot img1License : Permissive (MIT)
            copy iconCopy
            from numa import info    
            info.numa_hardware_info()
            
            from numa import info    
            info.node_to_cpus(1)
            
            from numa import info    
            info.cpu_to_node(1)
              
            Usage,memory
            Pythondot img2Lines of Code : 4dot img2License : Permissive (MIT)
            copy iconCopy
            from numa import memory    
            memory.set_interleave_nodes(0,1)
            
            from numa import memory    
            memory.set_membind_nodes(1)
              
            Usage,schedule
            Pythondot img3Lines of Code : 4dot img3License : Permissive (MIT)
            copy iconCopy
            from numa import schedule
            schedule.run_on_nodes(1,2)
            
            from numa import schedule
            schedule.run_on_cpus(pid, 1,3,4,6)
              

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install pynuma

            You can install using 'pip install pynuma' or download it from GitHub, PyPI.
            You can use pynuma 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

            If you have any problems with using this package, feel free to create issues and you will get answered in no more than 24 hours.
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            CLONE
          • HTTPS

            https://github.com/eedalong/pynuma.git

          • CLI

            gh repo clone eedalong/pynuma

          • sshUrl

            git@github.com:eedalong/pynuma.git

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