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UID:submissions.supercomputing.org_SC23_sess442_ws_whpc118@linklings.com
SUMMARY:Investigating Linear Solvers for Power Grid Analysis with Exascale
  Computing:  A Journey of Learning and Collaboration
DESCRIPTION:Leslie Cook (Oak Ridge National Laboratory (ORNL), Midwestern 
 State University)\n\nThis work is a contribution to the advancement of lin
 ear solvers for the Exascale Computing Project. It focuses on direct spars
 e linear solvers using High-Performance Computing (HPC) for large-scale po
 wer systems, resembling the United States power grids. This paper explores
  supercomputers at Oak Ridge Leadership Computing Facility, Summit and Fro
 ntier, comparing both performance and optimization strategies. The project
  encompasses a comprehensive test bench for Trilinos Amesos2 CPU-based sol
 vers, KLU2 and ShyLUBasker, and the testing of GPU-based solvers from NVID
 IA cuSolver to AMD rocSolver on distinct architecture configurations. The 
 challenges of power flow analysis are addressed through optimization techn
 iques, like matrix symmetry and GPU acceleration, and by evaluating accura
 cy and stability of linear solvers through residual analysis. Beyond techn
 ical gains, this work underscores the significance of collaboration and di
 verse expertise in HPC for innovative analysis of power grid systems, crit
 ical for resilient infrastructure against burgeoning threats like climate 
 change and cyberattacks.\n\nTag: State of the Practice\n\nRegistration Cat
 egory: Workshop Reg Pass\n\nSession Chairs: Elsa J. Gonsiorowski (Lawrence
  Livermore National Laboratory (LLNL)) and Mozhgan Kabiri chimeh (NVIDIA C
 orporation)\n\n
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