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DTSTART:19700308T020000
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DTSTAMP:20230831T095745Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230626T112000
DTEND;TZID=Europe/Stockholm:20230626T115000
UID:submissions.pasc-conference.org_PASC23_sess104_pos148@linklings.com
SUMMARY:P07 - Addressing Exascale Challenges for Numerical Algorithms of S
 trongly Correlated Lattice Models
DESCRIPTION:Poster\n\nSamuel Gozel (Paul Scherrer Institute) and Andreas M
 . Läuchli (Paul Scherrer Institute, EPFL)\n\nStrongly Correlated Lattice M
 odels play an important role for our understanding of Quantum Magnetism, H
 igh-Tc superconductors, and also Quantum Simulators built from cold atoms,
  trapped ions, Rydberg atoms, or superconducting qubits. Wave function bas
 ed numerical algorithms, such as Exact Diagonalization or Tensor Network A
 lgorithms are powerful state-of-the-art techniques in this field. Past eff
 orts brought Shared Memory parallelisation for both methods, and also larg
 e scale MPI parallelisation for the former, to impressive levels. However 
 the current trend towards more GPU based architectures and additional arch
 itectural inhomogeneity in the HPC landscape ask for renewed parallelisati
 on efforts. In this poster we present the current state of the art in para
 llelisation, and discuss strategies and first results in porting some of t
 hese algorithms to the GPU and multi-GPU domain.\n\nSession Chair: Elaine 
 M. Raybourn (Sandia National Laboratories)
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