2 citations · 3 across the 3 of their papers we have counts for
3 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…
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors
Héctor Martínez, Sandra Catalán, Francisco D. Igual +3
This paper advocates for an intertwined design of the dense linear algebra software stack that breaks down the strict barriers between the high-level, blocked algorithms in LAPACK…