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Salvatore Filippone
2021-03-29 14:12:56 +02:00
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@@ -79,17 +79,17 @@ class="cmr-12">of a software development project started in 2007, named MLD2P4,
class="cmr-12">implemented a multilevel version of some domain decomposition preconditioners of</span>
<span
class="cmr-12">additive-Schwarz type and was based on a parallel decoupled version of the well known</span>
<span
class="cmr-12">smoothed aggregation method to generate the multilevel hierarchy of coarser</span>
<span
class="cmr-12">smoothed aggregation method to generate the multilevel hierarchy of coarser</span>
<span
class="cmr-12">matrices. In the last years, within the context of the EU-H2020 EoCoE project</span>
<span
class="cmr-12">(Energy Oriented Center of Excellence), the package is being extended for</span>
class="cmr-12">(Energy Oriented Center of Excellence), the package was extended for including</span>
<span
class="cmr-12">including new algorithms and functionalities to setup and apply new AMG</span>
class="cmr-12">new algorithms and functionalities for the setup and application new AMG</span>
<span
class="cmr-12">preconditioners with the final aims of improving efficiency and scalability when tens of</span>
<span
@@ -101,23 +101,23 @@ class="cmr-12">of changes and the increase in scope, we decided to rename the pa
<span
class="cmr-12">AMG4PSBLAS.</span>
<!--l. 16--><p class="indent" > <span
class="cmr-12">AMG4PSBLAS is designed to provide scalable and easy-to-use preconditioners in</span>
class="cmr-12">AMG4PSBLAS has been designed to provide scalable and easy-to-use</span>
<span
class="cmr-12">the context of the PSBLAS (Parallel Sparse Basic Linear Algebra Subprograms)</span>
class="cmr-12">preconditioners in the context of the PSBLAS (Parallel Sparse Basic Linear Algebra</span>
<span
class="cmr-12">computational framework and can be used in conjuction with the Krylov solvers</span>
class="cmr-12">Subprograms) computational framework and can be used in conjuction with the Krylov</span>
<span
class="cmr-12">available in this framework. Our package is based on a completely algebraic approach</span>
class="cmr-12">solvers available in this framework. Our package is based on a completely</span>
<span
class="cmr-12">and users level interfaces assume that the system matrix and preconditioners are</span>
class="cmr-12">algebraic approach; therefore users level interfaces assume that the system matrix</span>
<span
class="cmr-12">represented as PSBLAS distributed sparse matrices. AMG4PSBLAS enables the user</span>
class="cmr-12">and preconditioners are represented as PSBLAS distributed sparse matrices.</span>
<span
class="cmr-12">to easily specify different features of an algebraic multilevel preconditioner, thus</span>
class="cmr-12">AMG4PSBLAS enables the user to easily specify different features of an algebraic</span>
<span
class="cmr-12">allowing to experiment with different preconditioners for the problem and parallel</span>
class="cmr-12">multilevel preconditioner, thus allowing to experiment with different preconditioners for</span>
<span
class="cmr-12">computers at hand.</span>
class="cmr-12">the problem and parallel computers at hand.</span>
<!--l. 27--><p class="indent" > <span
class="cmr-12">The package employs object-oriented design techniques in Fortran</span><span
class="cmr-12">&#x00A0;2003, with</span>