
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
