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handle: 10251/176309 , 10754/667072
[EN] Contemporary applications in computational science and engineering often require the solution of linear systems which may be of different sizes, shapes, and structures. The goal of this paper is to explain how two libraries, PETSc and HPDDM, have been interfaced in order to offer end-users robust overlapping Schwarz preconditioners and advanced Krylov methods featuring recycling and the ability to deal with multiple right-hand sides. The flexibility of the implementation is showcased and explained with minimalist, easy-to-run, and reproducible examples, to ease the integration of these algorithms into more advanced frameworks. The examples provided cover applications from eigenanalysis, elasticity, combustion, and electromagnetism. Jose E. Roman was supported by the Spanish Agencia Estatal de Investigacion (AEI) under project SLEPc-DA (PID2019-107379RB-I00)
Distributed-memory parallel computing, Domain decomposition preconditioners, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Krylov methods, [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS], 510
Distributed-memory parallel computing, Domain decomposition preconditioners, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Krylov methods, [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS], 510
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