A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers-Reference-Cited by-同舟云学术

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A Multi-GPU Aggregation-Based AMG Preconditioner for Iterative Linear Solvers

Published:2023-08 Issue:8 Volume:34 Page:2365-2376
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Bernaschi Massimo¹^ORCID,Celestini Alessandro¹^ORCID,Vella Flavio²^ORCID,D'Ambra Pasqua³^ORCID

Affiliation:

1. Institute for Applied Computing (IAC) - CNR, Rome, Italy

2. University of Trento, Trento, Italy

3. Institute for Applied Computing (IAC) - CNR, Naples, Italy

Funder

Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale

Horizon 2020 Program for Research and Innovation

Indam GNCS Project 2022

European Commission

NextGenerationEU

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/10153956/10155151.pdf?arnumber=10155151

Reference36 articles.

1. A parallel generalized relaxation method for high-performance image segmentation on GPUs

2. Sparse Matrix-vector Multiplication on GPGPU Clusters: A New Storage Format and a Scalable Implementation

3. Sparse Matrix-Vector Multiplication on GPGPUs

4. MLD2P4

5. Toward a new metric for ranking high performance computing systems.

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