skl | Algoritmic Skeleton Library for C
kandi X-RAY | skl Summary
kandi X-RAY | skl Summary
skl is a C++ library. skl has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
SKL aims to be an easy to use library. SKL achieves this by encapsulating all of the parallel code inside the skeletons, so that the user wont need to know/code anything related to parallelization. The user only needs to know the semantics of the skletons. SKL is capable of achieving good performing, because the coupling of the parallelization layers is made at compile time with the use of inheritance and templates. SKL has the ability to activate and deactivate specific layers at compile adapting the implementation of the skeletons to diferent kinds of hardware arquitectures. SKL can activate multiple layers at the same time wich makes hybrid layers of parallelizaion possibly like OpenMP and MPI (not yet!). This makes SKL a very flexible and portable algoritmic library. SKL started as a master dissertation project with the aim of giving HPC/parallel solutions a better architecture. SKL is, as refered, an algoritmic skeleton library implementing the skeletons with multiple layers of parallelization. This is a fork of the original private project. SKL is still being develop.
SKL aims to be an easy to use library. SKL achieves this by encapsulating all of the parallel code inside the skeletons, so that the user wont need to know/code anything related to parallelization. The user only needs to know the semantics of the skletons. SKL is capable of achieving good performing, because the coupling of the parallelization layers is made at compile time with the use of inheritance and templates. SKL has the ability to activate and deactivate specific layers at compile adapting the implementation of the skeletons to diferent kinds of hardware arquitectures. SKL can activate multiple layers at the same time wich makes hybrid layers of parallelizaion possibly like OpenMP and MPI (not yet!). This makes SKL a very flexible and portable algoritmic library. SKL started as a master dissertation project with the aim of giving HPC/parallel solutions a better architecture. SKL is, as refered, an algoritmic skeleton library implementing the skeletons with multiple layers of parallelization. This is a fork of the original private project. SKL is still being develop.
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Quality
Security
License
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Support
skl has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 months.
skl has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of skl is sequential
Quality
skl has no bugs reported.
Security
skl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
skl 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.
Reuse
skl releases are available to install and integrate.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of skl
skl Key Features
No Key Features are available at this moment for skl.
skl Examples and Code Snippets
No Code Snippets are available at this moment for skl.
Community Discussions
No Community Discussions are available at this moment for skl.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install skl
This is an example of how you may set up SKL project locally. By cloning a local copy up and running follow these simple example steps.
Clone the repo git clone https://github.com/vascolleitao/skl.git
Building cmake -B build -S skl cmake --build build
Testing ctest --ctest-dir build
Installing cmake --install build \ --prefix <INSTALL-DIR> \ --component skl
Clone the repo git clone https://github.com/vascolleitao/skl.git
Building cmake -B build -S skl cmake --build build
Testing ctest --ctest-dir build
Installing cmake --install build \ --prefix <INSTALL-DIR> \ --component skl
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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