ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems. - Iryna De Albuquerque Silva; Thomas Carle; Adrien Gauffriau; Claire Pagetti (ECRTS, 2022)

ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems (Artifact). - Iryna De Albuquerque Silva; Thomas Carle; Adrien Gauffriau; Claire Pagetti (Dagstuhl Artifacts Ser., 2022)

Extending a predictable machine learning framework with efficient gemm-based convolution routines. - Iryna De Albuquerque Silva; Thomas Carle; Adrien Gauffriau; Claire Pagetti (Real Time Syst., 2023)

A Predictable SIMD Library for GEMM Routines. - Iryna De Albuquerque Silva; Thomas Carle; Adrien Gauffriau; Victor Jégu; Claire Pagetti (RTAS, 2024)