mpich-visualisation | Visual Representation of MPICH Communication
kandi X-RAY | mpich-visualisation Summary
kandi X-RAY | mpich-visualisation Summary
mpich-visualisation is a Python library. mpich-visualisation has no bugs, it has no vulnerabilities and it has low support. However mpich-visualisation build file is not available. You can download it from GitHub.
MPICH is a standard software used for message-passing for distributed-memory applications used in parallel computing. MPICH is Free and open source software. MPICH provides many MPI calls like Reduce , Broadcast , Send , Gather , etc to provide different functionality in parallel implementation of a code. This project is to show a visual representation of underlying message passing that happens among the nodes for various different function calls and on different topologies.
MPICH is a standard software used for message-passing for distributed-memory applications used in parallel computing. MPICH is Free and open source software. MPICH provides many MPI calls like Reduce , Broadcast , Send , Gather , etc to provide different functionality in parallel implementation of a code. This project is to show a visual representation of underlying message passing that happens among the nodes for various different function calls and on different topologies.
Support
Quality
Security
License
Reuse
Support
mpich-visualisation has a low active ecosystem.
It has 1 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
mpich-visualisation has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mpich-visualisation is current.
Quality
mpich-visualisation has no bugs reported.
Security
mpich-visualisation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mpich-visualisation does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
mpich-visualisation releases are not available. You will need to build from source code and install.
mpich-visualisation has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mpich-visualisation
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mpich-visualisation
mpich-visualisation Key Features
No Key Features are available at this moment for mpich-visualisation.
mpich-visualisation Examples and Code Snippets
No Code Snippets are available at this moment for mpich-visualisation.
Community Discussions
No Community Discussions are available at this moment for mpich-visualisation.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mpich-visualisation
You can download it from GitHub.
You can use mpich-visualisation 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.
You can use mpich-visualisation 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page