Enabling workload-driven novel reconfigurable systems leveraging system technology co-optimisation.

Master internship - Leuven | More than two weeks ago With the increasing diversity of domains using AI/ML-based applications, there is a growing diversity of workload requirements from electronic systems. While heterogeneous computing systems (CPU, GPU, and NPU accelerators) provide some level of optimization, the static nature of computation, communication, and memory elements limits the level of utilization for eme…