Fast algorithm for parallel solving inversion of large scale small matrices based on GPU-Reference-Cited by-同舟云学术

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Fast algorithm for parallel solving inversion of large scale small matrices based on GPU

Published:2023-05-13 Issue:16 Volume:79 Page:18313-18339
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Xuebin Jin,Yewang Chen,Wentao Fan,Yong Zhang,Jixiang Du

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province, China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05336-7.pdf

Reference42 articles.

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2. Syafalni I, Reynaldi DM, Munir R, Adiono T, Sutisna N, Mulyawan R (2022) Complexity analysis of encoding in CKKS-fully homomorphic encryption algorithm. In: 2022 International Symposium on Electronics and Smart Devices (ISESD), pp 1–5

3. Richards D, Abdelgawad A, Yelamarthi K (2018) How does encryption influence timing in IoT? In: 2018 IEEE Global Conference on Internet of Things (GCIoT), pp 1–5

4. Anaya E, Patel J, Shah P, Shah V, Cheng Y (2020) A performance study on cryptographic algorithms for IoT devices. In: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy. CODASPY ’20, pp 159–161. Association for Computing Machinery, New York

5. Lee W, Kim M, Park J (2021) Speed-up of the matrix computation on the ridge regression. In: KSII Transactions on Internet & Information Systems, vol 15, no 10

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1. Efficient Construction of Voxel Models for Ore Bodies Using an Improved Winding Number Algorithm and CUDA Parallel Computing;ISPRS International Journal of Geo-Information;2023-11-21

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