6 citations · 7 across the 3 of their papers we have counts for
3 papers
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge
Cristian Ramírez, Adrián Castelló, Héctor Martínez +1
The devices designed for the Internet-of-Things encompass a large variety of distinct processor architectures, forming a highly heterogeneous zoo. In order to tackle this, we emplo…
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…