Improved parallel matrix multiplication using Strassen and Urdhvatiryagbhyam method-Reference-Cited by-同舟云学术

Improved parallel matrix multiplication using Strassen and Urdhvatiryagbhyam method

Published:2023-05-24 Issue:2 Volume:5 Page:102-115
ISSN:2524-4922
Container-title:CCF Transactions on High Performance Computing
language:en
Short-container-title:CCF Trans. HPC

Author:

Bessant Y. R. Annie,Jency J. Grace,Sagayam K. Martin,Jone A. Amir Anton,Pandey Digvijay^ORCID,Pandey Binay Kumar

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Hardware and Architecture,Computer Science Applications,Computer Science (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s42514-023-00149-9.pdf

Reference36 articles.

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2. Arish, S., Sharma, R.K.: Run time reconfigurable multi precision floating point matrix multiplier intellectual property core on FPGA. Circuits Syst. Signal Process. 36(3), 998–1026 (2016)

3. Cannon, L.E.: A cellular computer to implement the kalman filter algorithm. PhD dissertation. Montana State University (1969)

4. Chetan, S., Sourabh, K.S., Lekshmi, V., Sudhakar, S., Manikandan, J.: Design and evaluation of floating point matrix operations for FPGA based system design. Procedia Comput. Sci. 171, 959–968 (2020)

5. Choi, J.: A new parallel matrix multiplication algorithm on distributed-memory concurrent computers. Concurr. Pract. Exp. 10(8), 224–229 (1997)

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