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Implementing sparse matrix-vector multiplication on throughput-oriented processors

PROCEEDINGS ARTICLE published 14 November 2009 in Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis

Authors: Nathan Bell | Michael Garland

https://doi.org/10.1145/1654059.1654078 Actions

Efficient sparse matrix-vector multiplication on x86-based many-core processors

PROCEEDINGS ARTICLE published 10 June 2013 in Proceedings of the 27th international ACM conference on International conference on supercomputing

Authors: Xing Liu | Mikhail Smelyanskiy | Edmond Chow | Pradeep Dubey

https://doi.org/10.1145/2464996.2465013 Actions

Auto-tuning of Sparse Matrix-Vector Multiplication on Graphics Processors

BOOK CHAPTER published 2013 in Lecture Notes in Computer Science

Authors: Walid Abu-Sufah | Asma Abdel Karim

https://doi.org/10.1007/978-3-642-38750-0_12 Actions

A high performance algorithm using pre-processing for the sparse matrix-vector multiplication

PROCEEDINGS ARTICLE published in Proceedings Supercomputing '92

Authors: R.C. Agarwal | F.G. Gustavson | M. Zubair

https://doi.org/10.1109/superc.1992.236712 Actions

Parallel Patterns: Sparse Matrix–Vector Multiplication

BOOK CHAPTER published 2013 in Programming Massively Parallel Processors

Authors: David B. Kirk | Wen-mei W. Hwu

https://doi.org/10.1016/b978-0-12-415992-1.00010-9 Actions

Improving performance of sparse matrix-vector multiplication

PROCEEDINGS ARTICLE published January 1999 in Proceedings of the 1999 ACM/IEEE conference on Supercomputing

Authors: Ali Pinar | Michael T. Heath

https://doi.org/10.1145/331532.331562 Actions

Merge-Based Parallel Sparse Matrix-Vector Multiplication

PROCEEDINGS ARTICLE published November 2016 in SC16: International Conference for High Performance Computing, Networking, Storage and Analysis

Authors: Duane Merrill | Michael Garland

https://doi.org/10.1109/sc.2016.57 Actions

Speculative segmented sum for sparse matrix-vector multiplication on heterogeneous processors

JOURNAL ARTICLE published November 2015 in Parallel Computing

Authors: Weifeng Liu | Brian Vinter

https://doi.org/10.1016/j.parco.2015.04.004 Actions

Sparse Matrix-Vector Multiplication on Multicore and Accelerators

BOOK CHAPTER published 7 December 2010 in Scientific Computing with Multicore and Accelerators

Authors: Samuel Williams | Nathan Bell | Jee Whan Choi | Michael Garland | Leonid Oliker | Richard Vu

https://doi.org/10.1201/b10376-8 Actions

Globally homogeneous, locally adaptive sparse matrix-vector multiplication on the GPU

PROCEEDINGS ARTICLE published 14 June 2017 in Proceedings of the International Conference on Supercomputing

Authors: Markus Steinberger | Rhaleb Zayer | Hans-Peter Seidel

https://doi.org/10.1145/3079079.3079086 Actions

Adaptive sparse matrix representation for efficient matrix–vector multiplication

JOURNAL ARTICLE published September 2016 in The Journal of Supercomputing

Authors: Pantea Zardoshti | Farshad Khunjush | Hamid Sarbazi-Azad

https://doi.org/10.1007/s11227-015-1571-0 Actions

CSR5

PROCEEDINGS ARTICLE published 8 June 2015 in Proceedings of the 29th ACM on International Conference on Supercomputing

Authors: Weifeng Liu | Brian Vinter

https://doi.org/10.1145/2751205.2751209 Actions

Adaptive runtime tuning of parallel sparse matrix-vector multiplication on distributed memory systems

PROCEEDINGS ARTICLE published 7 June 2008 in Proceedings of the 22nd annual international conference on Supercomputing

Authors: Seyong Lee | Rudolf Eigenmann

https://doi.org/10.1145/1375527.1375558 Actions

Implementing Blocked Sparse Matrix-Vector Multiplication on NVIDIA GPUs

BOOK CHAPTER published 2009 in Lecture Notes in Computer Science

Authors: Alexander Monakov | Arutyun Avetisyan

https://doi.org/10.1007/978-3-642-03138-0_32 Actions

Efficient sparse matrix-delayed vector multiplication for discretized neural field model

JOURNAL ARTICLE published May 2018 in The Journal of Supercomputing

Research funded by Ministerstvo školství, Mládeže a Telovýchovy (LM2015085)

Authors: Jan Fousek

https://doi.org/10.1007/s11227-017-2194-4 Actions

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

PROCEEDINGS ARTICLE published October 2010 in 2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

https://doi.org/10.1109/iccasm.2010.5623237 Actions

VBSF: a new storage format for SIMD sparse matrix–vector multiplication on modern processors

JOURNAL ARTICLE published March 2020 in The Journal of Supercomputing

Research funded by National Key Research and Development Program of China (2017YFB0202104)

Authors: Yishui Li | Peizhen Xie | Xinhai Chen | Jie Liu | Bo Yang | Shengguo Li | Chunye Gong | Xinbiao Gan | Han Xu

https://doi.org/10.1007/s11227-019-02835-4 Actions

Performance evaluation of the sparse matrix-vector multiplication on modern architectures

JOURNAL ARTICLE published October 2009 in The Journal of Supercomputing

Authors: Georgios Goumas | Kornilios Kourtis | Nikos Anastopoulos | Vasileios Karakasis | Nectarios Koziris

https://doi.org/10.1007/s11227-008-0251-8 Actions

Locality-Aware Parallel Sparse Matrix-Vector and Matrix-Transpose-Vector Multiplication on Many-Core Processors

JOURNAL ARTICLE published 1 June 2016 in IEEE Transactions on Parallel and Distributed Systems

Research funded by EU Framework Programme for Research and Innovation (653838)

Authors: M. Ozan Karsavuran | Kadir Akbudak | Cevdet Aykanat

https://doi.org/10.1109/tpds.2015.2453970 Actions

LightSpMV: Faster CSR-based sparse matrix-vector multiplication on CUDA-enabled GPUs

PROCEEDINGS ARTICLE published July 2015 in 2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)

Authors: Yongchao Liu | Bertil Schmidt

https://doi.org/10.1109/asap.2015.7245713 Actions
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