The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN is a collection of robust libraries for high dimensional integration and interpolation as well as parameter calibration. The code consists of several modules that can be used individually or conjointly. The project is sponsored by Oak Ridge National Laboratory Directed Research and Development as well as the Department of Energy Office for Advanced Scientific Computing Research.
- Acceleration backends are provided for Nvidia CUDA, AMD ROCm, and Intel oneAPI frameworks
- Fortran 2003 support with MPI methods
- numerous bug fixes and performance enhancements
Last Updated: April 16, 2021 - 10:11 am