Hardware Feasability Study

This deliverable is the outcome of the feasibility study and analysis of AI/ML methods (of WP2) and their materialization on FPGAs. Here we will look at the different AI/ML methods used in WP2 and understand which of these should be accelerated using the FPGAs. We will apply performance-analysis workflows ( e.g., roofline analysis, intensity, etc.) to understand which parts should be accelerated in order to maximize the performance and use of the acceleration.The outcome is a public report.