<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Krause, Rolf</dc:contributor>
  <dc:creator>Benedusi, Pietro</dc:creator>
  <dc:date>2020-04-15</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The goal of this thesis is to design and study an efficient strategy to solve possibly non-linear parabolic partial differential equations on massively parallel  machines. Traditionally, when solving time-dependent problems, time stepping methods are used to advance the solution in time. These techniques are  inherently sequential and therefore they introduce a bottleneck in the overall computational scalability. To overcome this limitation, we focus on the design  of time parallel solvers. To achieve parallel efficiency in both space and time, we employ a multilevel space-time finite element discretization, coupled with  parallel block preconditioners. We use continuous finite elements to discretize in space and, for stability reasons, we adopt discontinuous finite elements  in the time dimension. In space, in particular, we consider the generic finite element framework of isogeometric analysis. We consider a space-time  multilevel method, based on a hierarchy of non-nested meshes, created using a semi-geometric approach. With this technique, we can automatically  generate space-time coarse spaces, starting from a single fine spatial mesh, in any dimension and in the presence of complex geometries. Through a  detailed spectral analysis, we can design convenient preconditioners for space-time operators and give estimates of their conditioning, with respect to  problem, discretization and multigrid parameters. We numerically investigate how different iterative solution strategies, coarsening strategies and spectral  based preconditioners, can affect the overall convergence and robustness of our multilevel approach. Finally, we run strong and weak scalability  experiments, mostly focusing on time parallelism. In this analysis, we consider two model problems: the heat equation, possibly anisotropic or with  jumping coefficients, and the monodomain equation, a non-linear reaction-diffusion model arising from the study of the electrical activation of the human  heart.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://n2t.net/ark:/12658/srd1319120</dc:identifier>
  <dc:identifier>https://susi.usi.ch/global/documents/319120</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/319120/files/2020INFO005.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:rero-006-120892</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1319120</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Space-time discretization</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Space-time multigrid</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Parallel-in-time</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Computational electrophysiology</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Isogeometric analysis</dc:subject>
  <dc:subject xmlns:ns6="xml" ns6:lang="en">Discontinuous Galerkin</dc:subject>
  <dc:subject xmlns:ns7="xml" ns7:lang="en">Preconditioned GMRES</dc:subject>
  <dc:subject xmlns:ns8="xml" ns8:lang="en">Parallel solver</dc:subject>
  <dc:subject xmlns:ns9="xml" ns9:lang="en">Spectral distribution</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/004</dc:subject>
  <dc:title xmlns:ns10="xml" ns10:lang="en">Parallel space-time multilevel methods with application to electrophysiology : theory and implementation</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_db06</dc:type>
</oai_dc:dc>
