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A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor

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A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor

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Ramírez-Betancourth, C.; Castelló, A.; Quintana-Ortí, ES. (2022). A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor. The Journal of Supercomputing. 78(16):18051-18060. https://doi.org/10.1007/s11227-022-04581-6

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Título: A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor
Autor: Ramírez-Betancourth, Cristian Castelló, Adrián Quintana-Ortí, Enrique S.
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Fecha difusión:
Resumen:
[EN] We address the efficient realization of matrix multiplication (gemm), with application in the convolution operator for machine learning, for the RISC-V core present in the GreenWaves GAP8 processor. Our approach ...[+]
Palabras clave: Matrix multiplication , High performance , RISC-V GAP8
Derechos de uso: Reconocimiento (by)
Fuente:
The Journal of Supercomputing. (issn: 0920-8542 )
DOI: 10.1007/s11227-022-04581-6
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11227-022-04581-6
Código del Proyecto:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113656RB-C22/ES/COMPUTACION Y COMUNICACIONES DE ALTAS PRESTACIONES CONSCIENTES DEL CONSUMO ENERGETICO. APLICACIONES AL APRENDIZAJE PROFUNDO COMPUTACIONAL - UPV/
info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//FJC2019-039222-I//AYUDA JUAN DE LA CIERVA FORMACION-CASTELLO GIMENO, ADRIAN/
info:eu-repo/grantAgreement/EC/H2020/955558/EU
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//GRISOLIAP%2F2020%2F086//AYUDA SANTIAGO GRISOLIA: COMPUTACION DE ALTAS PRESTACIONES CONSCIENTE DEL CONSUMO PARA REDES NEURONALES PROFUNDAS./
Agradecimientos:
This work was supported by the research project PID2020-113656RB-C22 of MCIN/AEI/10.13039/501100011033. C. Ramirez is a "Santiago Grisolia" fellow supported by Generalitat Valenciana. Adrian Castello is a FJC2019-039222-I ...[+]
Tipo: Artículo

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