SI2-SSE: MATEDOR: MAtrix, TEnsor, and Deep-learning Optimized Routines

The MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR) project provides software technologies and standard APIs, along with a sustainable and portable library for large-scale computations whose individual components rely on very small matrix or tensor computations. The main target is the acceleration of applications from important fields that fit this profile, including deep learning, data mining, astrophysics, image and signal processing, hydrodynamics, and more.