.png){kind=icon}
返回
CHRONOS: A GENERAL PURPOSE CLASSICAL AMG SOLVER FOR HIGH PERFORMANCE COMPUTING\ast
.png){kind=icon}
OA
AI
DOI：10.1137/21M1398586.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The numerical simulation of physical systems has become in recent years a fundamental tool to perform analyses and predictions in several application fields, spanning from industry to the academy. As far as large-scale simulations are concerned, one of the most computationally expensive tasks is the solution of linear systems of equations arising from the discretization of the partial differential equations governing physical processes. This work presents Chronos, a collection of linear algebra functions specifically designed for the solution of large, sparse linear systems on massively parallel computers. Its emphasis is on modern, effective, and scalable Algebraic Multigrid (AMG) preconditioners for high performance computing (HPC). This work describes the numerical algorithms and the main structures of this software suite, especially from an implementation standpoint. Several numerical results arising from practical mechanics and fluid dynamics applications with hundreds of millions of unknowns are addressed and compared with other state-of-the-art linear solvers, proving Chronos's efficiency and robustness.
Keyword:
parallel computing
HPC
preconditioning
algebraic multigrid
期刊
IF:
2.6
论文数:
5.1K
被引数:
1.8W
机构
暂无机构信息
引用论文
A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD格子QCD中Hermitian wilson-dirac算子的多重网格加速特征求解器
OAAI
OAAI分享收藏A Study on the Effect of Ambient Air Plasma Treatment on the Properties of Methylammonium Lead Halide Perovskite Films.png)
MetalsOAAI
MetalsIF0
OAAI分享收藏分享收藏Evaluation of massively parallel linear sparse solvers on unstructured finite element meshes非结构化有限元网格上大规模并行线性稀疏求解器的评估
PREAI
分享收藏
查看更多内容