Calls of Advanced Computing Projects

The FCT's annual Calls Advanced Computing Projects seek to increase the national and international competitiveness of science and technology, as well as contributing to innovation and knowledge transfer, and to the realization of the global aspirations defined in the 2030 Agenda: United Nations Sustainable Development Goals (SDGs). In this context, it is particularly important to promote and strengthen the skills of scientific and technological institutions through the participation of their teams in advanced computing projects.

The Call for Advanced Computing Projects in all scientific areas is published annually. Proposals are evaluated by two independent panels: the technical suitability is assessed by elements that manage the computational resources requested and the scientific merit is assessed by panels of experts, predominantly affiliated to foreign institutions, experienced and of recognized merit and suitability, constituted by scientific domain.

Calls is intended to allocate computer resources through the following types of access:

Experimental Access (A0) - recommended for teams with no previous experience or history of using computational resources who want to test and explore HPC, AI, Cloud and Visualization. Duration: 6 months.
Development Access (A1) - recommended for software performance testing, code optimization, scalability testing, benchmarking, re-factoring. Duration: between 3 a 12 months.
Regular Access (A2) - recommended for scientific or innovation projects in which the team has consolidated previous experience. Duration: 12 months.
Larger Access (A3) - for large research and innovation projects in which the team has consolidated previous experience. Duration: 12 months.

Available computer models:

High Performance Computing (HPC) - allows you to run parallel processing applications, access GPUsaccess to machines with high memory capacity, among other things.
Computing for Artificial Intelligence - This model aims to support research and development projects that use artificial intelligence tools and data analysis algorithms, in the areas of Natural Language Understanding, Ethical Artificial Intelligence or others. It can be complemented with the HPC and cloud model.
Cloud Computing or Virtual Research Environment - allows you to run complex applications, host services such as web servers, databases, portals, create test and development environments, create virtual machines, run Linux containers, access GPUs, manage your resources flexibly, access EGI's Federated Cloud, among others.

Theoncourses planned/open can be found on the platform myFCT.

Closed Calls