Listar ICC_Congressos i conferències por autoría "511c94cb-8547-4534-af1b-edcfd848481f"
Mostrando ítems 1-3 de 3
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Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor
Dolz, Manuel F.; Martínez, Héctor; Alonso, Pedro; Quintana-Orti, Enrique S. IEEE (2022)The convolution operator is a crucial kernel for many computer vision and signal processing applications that rely on deep learning (DL) technologies. As such, the efficient implementation of this operator has received ... -
High Performance and Portable Convolution Operators for Multicore Processors
San Juan, Pablo; Castelló, Adrián; Dolz, Manuel F.; Alonso-Jordá, Pedro; Quintana-Orti, Enrique S. IEEE (2020-10)The considerable impact of Convolutional Neural Networks on many Artificial Intelligence tasks has led to the development of various high performance algorithms for the convolution operator present in this type of networks. ... -
Towards portable realizations of winograd-based convolution with vector intrinsics and OpenMP
Dolz, Manuel F.; Castelló, Adrián; Quintana-Orti, Enrique S. IEEE (2022)We take a step forward in the direction of developing high performance codes for the convolution, based on the Winograd transformation, that are easy to customize for different processor architectures. In our approach, ...