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Nick B edited this page Oct 19, 2021
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Non-deterministic results often arise unexpectedly in High Performance Computing (HPC) applications. These make reproducible and correct results difficult to create. As such, there is a need to improve the ability of software developers and scientists to comprehend root sources of non-determinism in their applications. To this end, we present ANACIN-X. This wiki is organized into the following pages:
- An Overview of the Software.
- Software Installation Please read this section carefully as there are a variety of different steps involved.
- Software Dependencies for ANACIN-X We do not recommend installing all of the dependencies on your own. Instead, use instructions in the installation section to install the dependencies, starting with those on installing Spack and Conda.
- The fourth section describes how to run the software. This is broken up into 3 main parts:
- How to run the software that produces kernel distance data.
- How to visualize data produced in the first part.
- Systems and settings that the project supports.
- At the end, we list the following 3 things:
- The project team
- Publications associated with the software
- Copyright and license information