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Roadmap, Releases and Download
Our aim is to persue the development of the Singular/GPI-Space Framework along the following lines:
- Provide access from Singular to GPI-Space to call again libSingular for massively parallel computations.
- Provide a sample application in form of the smoothness test algorithm.
- Provide the most fundamental programming constructs in form of a parallelWaitAll and parallelWaitFirst.
- Provide more programming constructs, e.g., a massively parallel graph expansion.
- Provide access to more of our applications, including the GIT-Fan, Tropicalization and Feynman Integral Applications.
- Provide integration between different programming constructs to allow for easy design of new applications.
- Provide integration with the next generation open source computer algebra system OSCAR.
- Provide more fundamental algorithms in a massively parallel way.
- The current version of the publicly available code can be downloaded from our Github site
The release includes the first couple of the predefined workflows. These are the wait all and the wait first workflows, which apply a Singular computation to a tuple of input tokens and wait until all computations finish resp. until one computation finishes. The computations can be administered in a convinient way completely from Singular.The release can be obtained via git clone --branch v0.2.0 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test, the wait all and the wait first). Release 0.1.2 | | The release includes minor changes and is the last version before significant additions.The release can be obtained via git clone --branch v0.1.2 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). | The release includes minor changes and is the last version before significant additions.The release can be obtained via git clone --branch v0.1.2 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). | | The release includes minor changes and is the last version before significant additions.The release can be obtained via git clone --branch v0.1.2 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). Release 0.1.1 | | The release includes minor changes, bugfixes and improvements of the user interface.The release can be obtained via git clone --branch v0.1.1 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). | The release includes minor changes, bugfixes and improvements of the user interface.The release can be obtained via git clone --branch v0.1.1 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). | | The release includes minor changes, bugfixes and improvements of the user interface.The release can be obtained via git clone --branch v0.1.1 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). Release 0.1.0 | | We address items 1) and 2) of the above roadmap by providing a Singular library and accompanying dynamical module for Singular, which provides access from Singular to GPI-Space to do massively parallel computations. We use GPI-Space for the coordination of the computation and Singular as the frontend and the computational backend. Configuration of the system can easily be done by using a so-called configuration token in Singular and specifying a nodefile file (with one hostname per line), which contains the names of the computation nodes to be used.The release can be obtained via git clone --branch v0.1.0 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). | We address items 1) and 2) of the above roadmap by providing a Singular library and accompanying dynamical module for Singular, which provides access from Singular to GPI-Space to do massively parallel computations. We use GPI-Space for the coordination of the computation and Singular as the frontend and the computational backend. Configuration of the system can easily be done by using a so-called configuration token in Singular and specifying a nodefile file (with one hostname per line), which contains the names of the computation nodes to be used.The release can be obtained via git clone --branch v0.1.0 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test). | We address items 1) and 2) of the above roadmap by providing a Singular library and accompanying dynamical module for Singular, which provides access from Singular to GPI-Space to do massively parallel computations. We use GPI-Space for the coordination of the computation and Singular as the frontend and the computational backend. Configuration of the system can easily be done by using a so-called configuration token in Singular and specifying a nodefile file (with one hostname per line), which contains the names of the computation nodes to be used.The release can be obtained via git clone --branch v0.1.0 https://github.com/singular-gpispace/framework.gitPlease refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test).
Roadmap
Our aim is to persue the development of the Singular/GPI-Space Framework along the following lines:
Provide access from Singular to GPI-Space to call again libSingular for massively parallel computations.
Provide a sample application in form of the smoothness test algorithm.
Provide the most fundamental programming constructs in form of a parallelWaitAll and parallelWaitFirst.
Provide more programming constructs, e.g., a massively parallel graph expansion.
Provide access to more of our applications, including the GIT-Fan, Tropicalization and Feynman Integral Applications.
Provide integration between different programming constructs to allow for easy design of new applications.
Provide integration with the next generation open source computer algebra system OSCAR.
Provide more fundamental algorithms in a massively parallel way.
Github Repository
The current version of the publicly available code can be downloaded from our Github site
https://github.com/singular-gpispace
The code is released under the GPL3 license.
The README.md of the repository
https://github.com/singular-gpispace/framework
gives detailed and explicit instructions how to install and examples how to use the Singular/GPI-Space framework.
The Singular/GPI-Space framework code base is currently migrating to the supercomputing package manager Spack, which provides an easy one-line installer experience in any environment from a personal computer to a supercomputer setting. Our repository with Spack packages
https://github.com/singular-gpispace/spack-packages
currently provides some of our applications, e.g., pfd-parallel, and all dependencies including Singular, GPI-Space, GPI-2 and Flint.
In case of problems, please open an issue on Github, or feel free to contact us directly via email.
Release 0.1.0 of pfd-parallel
This is the first release if the pfd-parallel framework for massively parallel partial fraction decomposition. The release can be obtained via
git clone --branch v0.1.0 https://github.com/singular-gpispace/pfd-parallel.git
Please refer to the Readme.md for instructions how to install and use the framework. After obtaining the package mangager Spack and registering our repository (as described in the Readme.md), you can install the package and all its dependencies by just typing
When doing this for the first time, plan in some time, since all dependencies are installed in the Spack environment.
Release 0.2.0
The release includes the first couple of the predefined workflows. These are the wait all and the wait first workflows, which apply a Singular computation to a tuple of input tokens and wait until all computations finish resp. until one computation finishes. The computations can be administered in a convinient way completely from Singular. The release can be obtained via
git clone --branch v0.2.0 https://github.com/singular-gpispace/framework.git
Please refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test, the wait all and the wait first).
Release 0.1.2
The release includes minor changes and is the last version before significant additions. The release can be obtained via
git clone --branch v0.1.2 https://github.com/singular-gpispace/framework.git
Please refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test).
Release 0.1.1
The release includes minor changes, bugfixes and improvements of the user interface. The release can be obtained via
git clone --branch v0.1.1 https://github.com/singular-gpispace/framework.git
Please refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test).
Release 0.1.0
We address items 1) and 2) of the above roadmap by providing a Singular library and accompanying dynamical module for Singular, which provides access from Singular to GPI-Space to do massively parallel computations. We use GPI-Space for the coordination of the computation and Singular as the frontend and the computational backend.
Configuration of the system can easily be done by using a so-called configuration token in Singular and specifying a nodefile file (with one hostname per line), which contains the names of the computation nodes to be used. The release can be obtained via
git clone --branch v0.1.0 https://github.com/singular-gpispace/framework.git
Please refer to the README.md for instructions how to build Singular, GPI-Space, necessary non-standard dependencies, and the Singular/GPI-Space framework, and how to use the framework (illustrated at the example of the smoothness test).