Trieste (Italy), 2017, 9-11 January
MaX concurrently works to develop a new application and data ecosystem, and to serve its industrial and academic community through end-user oriented actions. Key actions include
- advancing materials simulations codes:
- widening the scope of materials simulations in terms of computed functionalities and materials complexity;
- advanced software engineering to disentangle the quantum engines from low-level domain specific libraries;
- designing and promoting sustainable programming models to disseminate advanced functionalities to arbitrary quantum engines;
- building the materials modelling and data ecosystem: delivering the informatics ecosystem for the automation of high-throughput calculations, the automatic storage of data, a working environment where workflows and turn-key solutions are enabled, and sharing of data and workflows is made possible, while provenance, storage and preservation, reproducibility, and reuse are guaranteed (in collaboration with the MARVEL project);
- enabling the exascale transition: novel algorithms and programming models, domain-specific libraries, in-memory data management, software/hardware co-design, technology transfer actions with other FET-HPC initiative in H2020.
They are complemented by further end-user oriented key actions:
- integrating needs and solutions:
- aligning the technological offer of the CoE with leading end-users, by identifying and responding to their scientific, technological and industrial needs;
- expanding code capabilities to design materials and functions of relevance for industrial and societal challenges;
- supporting end users and integrating communities:
- industrial outreach, user support/forum for each reference code;
- a set of flexible services;
- custom development and consulting;
- training & education:
- addressing the skills gap by offering training via an integrated portal and a program of schools and workshops;
- supporting education in University programs via pilot courses;
- developing a MOOC (Massive Open On-line Course) model;
- and a flexible training offer for industrial researchers in our labs or at industrial premises.
