somoclu | Massively parallel self-organizing maps | GPU library

by peterwittek C Version: 1.7.6 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | somoclu Summary

somoclu is a C library typically used in Hardware, GPU applications. somoclu has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub, GitLab.

Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing the workload in a cluster, and it can be accelerated by CUDA. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes. For more information, refer to the manuscript about the library [1].

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somoclu has a low active ecosystem.

It has 239 star(s) with 63 fork(s). There are 27 watchers for this library.

It had no major release in the last 12 months.

There are 28 open issues and 111 have been closed. On average issues are closed in 84 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of somoclu is 1.7.6

Quality

somoclu has 0 bugs and 0 code smells.

Security

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

somoclu code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

somoclu is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

somoclu releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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somoclu Key Features

No Key Features are available at this moment for somoclu.

somoclu Examples and Code Snippets

No Code Snippets are available at this moment for somoclu.

Community Discussions

Trending Discussions on somoclu

Numpy - Finding matches across multiple co-ordinates

QUESTION

Numpy - Finding matches across multiple co-ordinates

Asked 2018-Apr-09 at 12:38

I'm using somoclu to produce an emergent Self-Organising Map of some data. Once I have the BMUs (Best Matching Units) I'm performing a Delaunay Triangulation on the co-ordinates of the BMUs in order to find each BMU's neighbours in the SOM.

In the following snippet of Python, is there a more Pythonic version of the a == c and b == d conditional? In other words, how can I compare bmu and point directly without splitting out the separate co-ordinates?

...

ANSWER

Answered 2018-Apr-09 at 12:38

Approach #1

We are working with NumPy arrays, so we can leverage broadcasting for a vectorized solution -

Source https://stackoverflow.com/questions/49730895

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

Vulnerabilities

No vulnerabilities reported

Install somoclu

These are the instructions for compiling the core library and the command line interface. The only dependency is a C++ compiler chain -- GCC, ICC, clang, and VC were tested. Multicore execution is supported through OpenMP -- the compiler must support this. Distributed systems are supported through MPI. The package was tested with OpenMPI. It should also work with other MPI flavours. CUDA support is optional.

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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