1 citations · 1 across the 2 of their papers we have counts for
4 papers
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM
Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá +3
We explore the utilization of the Apache TVM open source framework to automatically generate a family of algorithms that follow the approach taken by popular linear algebra librari…
Tackling the Matrix Multiplication Micro-kernel Generation with Exo
Adrián Castelló, Julian Bellavita, Grace Dinh +2
The optimization of the matrix multiplication (or GEMM) has been a need during the last decades. This operation is considered the flagship of current linear algebra libraries such…
Acoustic Echo Cancellation using Residual U-Nets
J. Silva-Rodríguez, M. F. Dolz, M. Ferrer +3
This paper presents an acoustic echo canceler based on a U-Net convolutional neural network for single-talk and double-talk scenarios. U-Net networks have previously been used in t…
High performance and energy efficient inference for deep learning on ARM processors
Adrián Castelló, Sergio Barrachina, Manuel F. Dolz +2
We evolve PyDTNN, a framework for distributed parallel training of Deep Neural Networks (DNNs), into an efficient inference tool for convolutional neural networks. Our optimization…