Data Center Digital Twin for Sustainable Exascale Computing

Graph-Massivizer targets “sustainable science throughput” through scalable energy-aware,  exascale  operation  and  traceable  TCO 107  understanding,  including  sustainability  indicators  and  their environmental effects (e.g., GHG emissions). The Graph-Massivizer tools will enable the creation of a novel, graph-based digital twin of a data centre; this digital twin will further support the construction of sustainable exascale computing operational models to support scientific discovery in the next decade.


Design massive DC-MG models capturing the spatiotemporal dependencies between computation, nodes, and cooling equipment and conduct analytics to predict the impact of the spatial power distribution on cooling efficiency and cost.


Green Data Centre Digital Twin and open data modelling of the Marconi 100 and EuroHPC Leonardo supercomputers at exascale