An object-oriented framework for the development of scalable parallel multilevel preconditioners


We present the design of a high-performance object-oriented framework that enables the rapid development and usage of efficient, scalable, and portable implementations of multilevel preconditioners for distributed sparse real matrices, in both serial and (massively) parallel environments. The main feature of the proposed framework is the use of several… (More)
DOI: 10.1145/1163641.1163643


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