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