CCA-LISI: On Designing A CCA Parallel Sparse Linear Solver Interface

Sparse linear solvers account for much of the execution time in many high-performance computing (HPC) applications, and not every solver works on all problems. Hence choosing a suitable solver is crucial step for an efficient application. Unfortunately, the best solver cannot be determined during the application development. Experiments on finding best suitable solver require a plug and play mechanism. This work is part of the common component architecture (CCA) effort on designing a common interface among various parallel high performance linear solver libraries, hence componenizing them and enabling dynamical switching. The implementation of this interface provides a CCA toolkit and is reusable under CCA-compliant framework such as Ccaffeine.