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1
On the Arithmetic Intensity of Distributed-Memory Dense Mat..:
, In:
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
,
Agullo, Emmanuel
;
Buttari, Alfredo
;
Coulaud, Olivier
... - p. 357-367 , 2023
Link:
https://doi.org/10.1109/IPDPS54959.2023.00044
RT T1 <cTitle>2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)</cTitle>: T1 <Title>On the Arithmetic Intensity of Distributed-Memory Dense Matrix Multiplication Involving a Symmetric Input Matrix (SYMM)</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10177414&Exemplar=1&LAN=DE A1 Agullo, Emmanuel A1 Buttari, Alfredo A1 Coulaud, Olivier A1 Eyraud-Dubois, Lionel A1 Faverge, Mathieu A1 Franc, Alain A1 Guermouche, Abdou A1 Jego, Antoine A1 Peressoni, Romain A1 Pruvost, Florent YR 2023 SN 1530-2075 K1 Symmetric matrices K1 Codes K1 Processor scheduling K1 Scalability K1 Distributed databases K1 Matrix decomposition K1 Artificial intelligence K1 Symmetric K1 matrix multiplication K1 SYMM K1 GEMM K1 2DBC K1 task-based programming K1 SBC K1 TBC K1 3D K1 2.5D SP 357 OP 367 LK http://dx.doi.org/https://doi.org/10.1109/IPDPS54959.2023.00044 DO https://doi.org/10.1109/IPDPS54959.2023.00044 SF ELIB - SuUB Bremen
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