Performance comparison of data-reordering algorithms for sparse matrix–vector multiplication in edge-based unstructured grid computations

Reordering Algorithms ◽

Edge Based ◽

Matrix Vector ◽

Data Reordering

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

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

10.1109/hpca51647.2021.00055 ◽

2021 ◽

Author(s):

Xinfeng Xie ◽

Zheng Liang ◽

Peng Gu ◽

Abanti Basak ◽

Lei Deng ◽

...

Keyword(s):

Sparse Matrix ◽

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

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

10.1145/3295500.3356148 ◽

2019 ◽

Author(s):

Athena Elafrou ◽

Georgios Goumas ◽

Nectarios Koziris

Keyword(s):

Sparse Matrix ◽

Multicore Architectures ◽

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 ◽

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 ◽

Author(s):

H.C. Wang ◽

Kai Hwang

Keyword(s):

Sparse Matrix ◽

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

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

10.1145/1216993.1217003 ◽

2007 ◽

Author(s):

Ahmed Sameh ◽

Tarek El-Ghazawi ◽

Yesha Yacoov

Keyword(s):

Parallel Programming ◽

Sparse Matrix ◽

Programming Paradigms ◽

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 ◽

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

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

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 ◽

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 ◽

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) ◽

Image convolution optimization using sparse matrix vector multiplication technique

10.1109/icacci.2016.7732252 ◽

2016 ◽

Author(s):

B Bipin ◽

Jyothisha J Nair

Keyword(s):

Sparse Matrix ◽

High Performance Computing for Computational Science – VECPAR 2016 - Lecture Notes in Computer Science ◽

SIMD Parallel Sparse Matrix-Vector and Transposed-Matrix-Vector Multiplication in DD Precision

10.1007/978-3-319-61982-8_4 ◽

2017 ◽

pp. 21-34 ◽

Author(s):

Toshiaki Hishinuma ◽

Hidehiko Hasegawa ◽

Teruo Tanaka

Keyword(s):

Sparse Matrix ◽