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pnnl/LAP

Software ·
DOI:https://doi.org/10.11578/dc.20241111.1· OSTI ID:code-147360 · Code ID:147360
;  [1];  [2]
  1. Pacific Northwest National Laboratory
  2. Advanced Micro Devices (AMD)
+ Show Developer Affiliations

A software framework to study, from the performance and energy perspective, the efficacy of GPU-resident parallel Conjugate Gradient (CG) linear solver with different preconditioner options, including Gauss-Seidel, Jacobi, and incomplete Cholesky. We also propose a novel GPU-based preconditioner, in which the triangular solves are approximated by an iterative process

Short Name / Acronym:
LAP
Site Accession Number:
Battelle IPID 33233-E
Software Type:
Scientific
License(s):
BSD 3-clause "New" or "Revised" License
Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Primary Award/Contract Number:
AC05-76RL01830
DOE Contract Number:
AC05-76RL01830
Code ID:
147360
OSTI ID:
code-147360
Country of Origin:
United States

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