In-Place Matrix Transposition on GPUs-Reference-Cited by-同舟云学术

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In-Place Matrix Transposition on GPUs

Published:2016-03-01 Issue:3 Volume:27 Page:776-788
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Gomez-Luna Juan,Sung I-Jui,Chang Li-Wen,Gonzalez-Linares Jose Maria,Guil Nicolas,Hwu Wen-Mei W.

Funder

Starnet Center for Future Architecture Research

Center of Excellence

NVIDIA

Ministry of Education of Spain

Junta de Andalucía of Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/7403835/07059219.pdf?arnumber=7059219

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GPU Algorithms for Structured Sparse Matrix Multiplication with Diagonal Storage Schemes;Algorithms;2024-01-12

2. Matrix Multiplication with Diagonals: Structured Sparse Matrices and Beyond;Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications;2023-06-17

3. Optimization Techniques for GPU Programming;ACM Computing Surveys;2023-03-16

4. Building a Performance Model for Deep Learning Recommendation Model Training on GPUs;2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC);2022-12

5. AMT: asynchronous in-place matrix transpose mechanism for sunway many-core processor;The Journal of Supercomputing;2022-01-17

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