ACETONE: predictable programming framework for ML applications in safety-critical systems
Machine learning applications have been gaining considerable attention in the field of safety-
critical systems. Nonetheless, there is up to now no accepted development process that …
critical systems. Nonetheless, there is up to now no accepted development process that …
Extending a predictable machine learning framework with efficient gemm-based convolution routines
To implement machine learning applications in real-time safety-critical systems, we
previously introduced a predictable framework named acetone. This framework compiles the …
previously introduced a predictable framework named acetone. This framework compiles the …
ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems
I De Albuquerque Silva, T Carle… - … Conference on Real …, 2022 - drops.dagstuhl.de
Abstract Machine learning applications have been gaining considerable attention in the field
of safety-critical systems. Nonetheless, there is up to now no accepted development process …
of safety-critical systems. Nonetheless, there is up to now no accepted development process …
[PDF][PDF] Automatic predictable C code generation of machine learning models for avionics systems
Machine learning applications have been gaining considerable attention in the field of safety-
critical systems. However, a lot of research and engineering development has yet to be …
critical systems. However, a lot of research and engineering development has yet to be …