Improving Structured Grid-Based Sparse Matrix-Vector Multiplication and Gauss–Seidel Iteration on GPDSP

Improving Structured Grid-Based Sparse Matrix-Vector Multiplication and Gauss–Seidel Iteration on GPDSP

Structured grid-based sparse matrix-vector multiplication and Gauss–Seidel iterations are very important kernel functions in scientific and engineering computations, both of which are memory intensive and bandwidth-limited. GPDSP is a general purpose digital signal processor, which is a very signifi...

Full description

Bibliographic Details
Main Authors: Yang Wang, Jie Liu, Xiaoxiong Zhu, Qingyang Zhang, Shengguo Li, Qinglin Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
GPDSP
SpMV
Gauss–Seidel iteration
parrallel algorithm
Online Access:https://www.mdpi.com/2076-3417/13/15/8952

Internet

https://www.mdpi.com/2076-3417/13/15/8952

Similar Items