Symmetric Tridiagonal Eigenvalue Solver Across CPU Graphics Processing Unit (GPU) Nodes

Symmetric Tridiagonal Eigenvalue Solver Across CPU Graphics Processing Unit (GPU) Nodes

In this work, an improved and scalable implementation of Cuppen’s algorithm for diagonalizing symmetric tridiagonal matrices is presented. This approach uses a hybrid-heterogeneous parallelization technique, taking advantage of GPU and CPU in a distributed hardware architecture. Cuppen’s algorithm i...

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Bibliographic Details
Main Authors: Erika Hernández-Rubio, Alberto Estrella-Cruz, Amilcar Meneses-Viveros, Jorge Alberto Rivera-Rivera, Liliana Ibeth Barbosa-Santillán, Sergio Víctor Chapa-Vergara
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
Cuppen’s algorithm
Eigenvalue Solver
Graphics Processing Unit
Hybrid-Heterogeneous computing
Online Access:https://www.mdpi.com/2076-3417/14/22/10716
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