CompContinuum Workshop at HiPEAC 2024

CompContinuum Workshop at HiPEAC 2024

Figure 1: Xavier Palomo, from partner BSC, shares EXTRACT use cases to demonstrate potential crisis management applications of an efficient compute continuum The half day workshop, “CompContinuum: Computing Continuum of Cloud, Edge, and IoT Technologies” held on...
Serving Models at Scale in EXTRACT

Serving Models at Scale in EXTRACT

A machine-learning (ML) model recommends where each individual should go in case of a disaster, taking into account the person’s characteristics and capabilities (age, disability, etc) and the limited capacity and labyrinthian streets and alleys of ancient Venice. To allow people’s devices to access this model, it needs to be served, i.e., be available as a remote service.