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DTSTAMP:20210916T132529Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210707T110000
DTEND;TZID=Europe/Stockholm:20210707T130000
UID:submissions.pasc-conference.org_PASC21_sess161@linklings.com
SUMMARY:Scalable Solvers for Energy Oriented Scientific Challenges
DESCRIPTION:Minisymposium\n\nSolving Linear Algebra problems is at the cor
 e of many scientific and engineering applications. When the problem size i
 s growing, it is critical to maintaining a reasonable run-time while using
  the computational resources at full capacity. The need for scalable algor
 ithms is essential in preparing scientific applications for the new exasca
 le ecosystem. Having flexibility and efficiency for the related software f
 ramework on supercomputers with hybrid nodes lies at this effort's core. T
 his mini-symposium will address the development of libraries of solvers an
 d preconditioners for the applications related to the current European tra
 nsition towards renewable energies. In particular, in the context of the "
 Energy Oriented Center of Excellence: toward exascale for energy" European
  project on High-Performance Computing and Sustainable Energies.\nThe Talk
 s will cover topics such as the acceleration and scalability techniques fo
 r direct solvers as the Block-Low Rank (BLR) feature or the use of GPUs. R
 ecent developments in Multigrid Solvers, both Algebraic and Geometric type
 , will be discussed, e.g., the usage of graph matching aggregation schemes
  and direct distributed coarse solvers with BLR features.\nThe talks will 
 explore several applications ranging from the simulation of hydrodynamic s
 ystems and large wind and material science models to illustrate these appr
 oaches' performance.\n\nPerformance Improvements in Multilevel DDM through
  Novel Features in Sparse Direct Solvers\n\nButtari, Darrigrand, Jolivet\n
 \nIn the context of the EoCoE project, and, in particular, for the simulat
 ion of wind farms, many efforts are devoted to the resolution of large str
 uctural mechanics problems which require the use of robust solvers. Sparse
  direct methods represent a reliable choice for handling moderate size pro
 blems ...\n\n---------------------\nMassively Parallel Multigrid with Dire
 ct Coarse Grid Solvers\n\nLeleux, Buttari, Mary, Ruede, Wohlmuth\n\nExtrem
 e scale simulation requires fast and scalable algorithms, such as multigri
 d methods. To achieve asymptotically optimal complexity, it is essential t
 o employ a hierarchy of grids. The cost to solve the coarsest grid system 
 can often be neglected in sequential computings, but cannot be ignored i..
 .\n\n---------------------\nAlgebraic MultiGrid Preconditioners for Sparse
  Linear Solvers at Extreme Scales on Hybrid Architectures\n\nD'Ambra, Dura
 stante, Filippone\n\nSparse linear solvers enable technology for reliable 
 and high-performance scientific and engineering computing, and Algebraic M
 ultiGrid (AMG) preconditioners are a popular ingredient of such linear sol
 vers. I will present some recent developments on a package of AMG precondi
 tioners aimed to improve ...\n\n---------------------\nStudy of the Recent
  Developments around the PaStiX Solver for the EoCoE Project: Distributed 
 Memory, Runtime Systems, and Low-Rank\n\nDelarue, Faverge, Korkmaz, Pichon
 , Ramet\n\nAs the core of a large number of simulation tools, the resoluti
 on of large linear systems often represents the dominant part of the compu
 ting time. Massively parallel versions are needed to maintain advances in 
 multi-physics and multi-scale simulations, especially when targeting exasc
 ale platforms. ...\n\n\nDomain: CS and Math, Emerging Applications, Solid 
 Earth Dynamics, Engineering
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