Preconditioned GMRES solver on multiple GPU architecture
Date
2016-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Computers and Mathematics with Applications
Abstract
In this paper, we analyze the preconditioned GMRES algorithm in detail and decompose it into components to implement on multiple-GPU architecture. The operations of vector updates, dot products and Sparse Matrix-Vector multiplication (SpMV) are implemented in parallel. In addition, a specific communication mechanism for SpMV is designed. The preconditioner is established on the host (CPU) and solved on the devices (GPUs). Validated by a series of numerical experiments, the GPU-based GMRES solver is effective and favorable parallel performance is achieved.
Description
Keywords
Mathematics, Computer Science, Engineering-Petroleum
Citation
http://hdl.handle.net/11023/2512