Today, artificial intelligence (AI) and deep learning (DL) methods are exploited in a wide gamut of products. DL models are trained on GPGPU systems, achieving 5-40x speedup wrt CPU-based servers. ANDREAS develops advanced scheduling solutions optimizing DL training run- time performance and their energy consumption in disaggregated GPGPU clusters. 2x speed-up and 50% energy savings are expected.
|Politecnico di Milano|
|E4 Computer Engineering|
TETRAMAX is a Horizon 2020 innovation action within the European Smart Anything Everywhere (SAE) initiative in the domain of customized and low-energy computing for Cyber Physical Systems and the Internet of Things. As a Digital Innovation Hub, TETRAMAX aims to bring added value to European industry, helping to gain competitive advantage through faster digitization. The project partially builds on experiences with the TETRACOM project during 2013-2016. TETRAMAX was launched in Sep 2017 and runs until Aug 2021.