Towards green AI-based software systems: an architecture-centric
  approach (GAISSA)
Silverio Martínez-Fernández Xavier Franch Francisco Durán
Nowadays, AI-based systems have achieved outstanding results and have
outperformed humans in different domains. However, the processes of training AI
models and inferring from them require high computational resources, which pose
a significant challenge in the current energy efficiency societal demand. To
cope with this challenge, this research project paper describes the main
vision, goals, and expected outcomes of the GAISSA project. The GAISSA project
aims at providing data scientists and software engineers tool-supported,
architecture-centric methods for the modelling and development of green
AI-based systems. Although the project is in an initial stage, we describe the
current research results, which illustrate the potential to achieve GAISSA
objectives.