On the Arithmetic Intensity of Distributed-Memory Dense Matrix Multiplication Involving a Symmetric Input Matrix (SYMM)-Reference-Cited by-同舟云学术

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On the Arithmetic Intensity of Distributed-Memory Dense Matrix Multiplication Involving a Symmetric Input Matrix (SYMM)

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
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Author:

Agullo Emmanuel¹,Buttari Alfredo²,Coulaud Olivier¹,Eyraud-Dubois Lionel¹,Faverge Mathieu³,Franc Alain⁴,Guermouche Abdou⁵,Jego Antoine⁶,Peressoni Romain¹,Pruvost Florent¹

Affiliation:

1. Inria - LaBRI

2. CNRS - IRIT

3. Bordeaux INP - LaBRI

4. INRAE - BioGeCo, Inria

5. Université de Bordeaux - LaBRI

6. INPT - IRIT

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10177277/10177383/10177414.pdf?arnumber=10177414

Reference28 articles.

1. A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs

2. Communication-Optimal Parallel 2.5D Matrix Multiplication and LU Factorization Algorithms

3. Communication-optimal parallel algorithm for strassen's matrix multiplication

4. Task-based parallel programming for scalable algorithms: Application to matrix multiplication;agullo,2022

5. Elemental

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