An improved mixed-precision FEAST algorithm for solving symmetric eigenvalue problems

Solving symmetric eigenvalue problems is vital in many areas of scientific computing. FEAST is a well-known package designed for large-scale eigenvalue problems, incorporating mixed-precision techniques to accelerate linear equation solving. Unlike FEAST's approach, this work introduces a new m...

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Veröffentlicht in:	2024 IEEE International Conference on High Performance Computing and Communications (HPCC) S. 721 - 728
Hauptverfasser:	Xie, Yi, Li, Shengguo, Li, Tiejun, Shao, Meiyue, Ren, Ruixuan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.12.2024
Schlagworte:	Banded Matrix Convergence Eigenvalues and eigenfunctions FEAST High performance computing Iterative methods Libraries Linear systems Mixed-Precision Algorithm Performance gain Scientific computing Sparse matrices Symmetric Eigenvalue Problem Symmetric matrices
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