Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs

Ahmad Abdelfattah; Hatem Ltaief; David Keyes; Jack Dongarra

doi:10.1002/cpe.3874

Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.3874 ◽

2016 ◽

Vol 28 (12) ◽

pp. 3447-3465 ◽

Cited By ~ 5

Author(s):

Ahmad Abdelfattah ◽

Hatem Ltaief ◽

David Keyes ◽

Jack Dongarra

Keyword(s):

Performance Optimization ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Research on Performance Optimization for Sparse Matrix-Vector Multiplication in Multi/Many-core Architecture

2020 2nd International Conference on Information Technology and Computer Application (ITCA) ◽

10.1109/itca52113.2020.00081 ◽

2020 ◽

Author(s):

Qihan Wang ◽

Mingliang Li ◽

Jianming Pang ◽

Di Zhu

Keyword(s):

Performance Optimization ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Many Core ◽

Matrix Vector

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Multi-GPU implementation and performance optimization for CSR-based sparse matrix-vector multiplication

2017 3rd IEEE International Conference on Computer and Communications (ICCC) ◽

10.1109/compcomm.2017.8322969 ◽

2017 ◽

Author(s):

Ping Guo ◽

Changjiang Zhang

Keyword(s):

Performance Optimization ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

And Performance ◽

Matrix Vector ◽

Gpu Implementation

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SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator

2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) ◽

10.1109/hpca51647.2021.00055 ◽

2021 ◽

Author(s):

Xinfeng Xie ◽

Zheng Liang ◽

Peng Gu ◽

Abanti Basak ◽

Lei Deng ◽

...

Keyword(s):

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Conflict-free symmetric sparse matrix-vector multiplication on multicore architectures

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis ◽

10.1145/3295500.3356148 ◽

2019 ◽

Cited By ~ 1

Author(s):

Athena Elafrou ◽

Georgios Goumas ◽

Nectarios Koziris

Keyword(s):

Sparse Matrix ◽

Multicore Architectures ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Sparse Matrix-Vector Multiplication on GPGPUs

ACM Transactions on Mathematical Software ◽

10.1145/3017994 ◽

2017 ◽

Vol 43 (4) ◽

pp. 1-49 ◽

Cited By ~ 34

Author(s):

Salvatore Filippone ◽

Valeria Cardellini ◽

Davide Barbieri ◽

Alessandro Fanfarillo

Keyword(s):

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Multicoloring for Fast Sparse Matrix-Vector Multiplication in Solving PDE Problems

1993 International Conference on Parallel Processing - ICPP'93 Vol1 ◽

10.1109/icpp.1993.119 ◽

1993 ◽

Cited By ~ 1

Author(s):

H.C. Wang ◽

Kai Hwang

Keyword(s):

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Modeling contention of sparse-matrix-vector multiplication (SMV) in three parallel programming paradigms

Proceedings of the 6th international workshop on Software and performance - WOSP '07 ◽

10.1145/1216993.1217003 ◽

2007 ◽

Author(s):

Ahmed Sameh ◽

Tarek El-Ghazawi ◽

Yesha Yacoov

Keyword(s):

Parallel Programming ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Programming Paradigms ◽

Matrix Vector

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Performance Evaluation of Sparse Matrix-Vector Multiplication Using GPU/MIC Cluster

2015 Third International Symposium on Computing and Networking (CANDAR) ◽

10.1109/candar.2015.73 ◽

2015 ◽

Cited By ~ 3

Author(s):

Hiroshi Maeda ◽

Daisuke Takahashi

Keyword(s):

Performance Evaluation ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Optimising Sparse Matrix Vector multiplication for large scale FEM problems on FPGA

2016 26th International Conference on Field Programmable Logic and Applications (FPL) ◽

10.1109/fpl.2016.7577352 ◽

2016 ◽

Cited By ~ 8

Author(s):

Paul Grigoras ◽

Pavel Burovskiy ◽

Wayne Luk ◽

Spencer Sherwin

Keyword(s):

Large Scale ◽

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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Addressing Volume and Latency Overheads in 1D-parallel Sparse Matrix-Vector Multiplication

Lecture Notes in Computer Science - Euro-Par 2017: Parallel Processing ◽

10.1007/978-3-319-64203-1_45 ◽

2017 ◽

pp. 625-637

Author(s):

Seher Acer ◽

Oguz Selvitopi ◽

Cevdet Aykanat

Keyword(s):

Sparse Matrix ◽

Matrix Vector Multiplication ◽

Matrix Vector

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