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Marie-Curie Doctoral Networks
The objective of Marie-Curie Doctoral Networks is to train highly skilled doctoral candidates, stimulate their creativity, enhance their innovation capacities and boost their employability in the long-term. Each doctoral candidate will be hired by a partner institution, and enrolled in a PhD programme at one of the partner universities. Doctoral candidates will participate to training activities, both at their institution and organised by the network. They will also have secondments to other partner institutions. Doctoral candidates salaries as well as network activities are funded by the European Union.
E-CoRe objective
Reversible Computing (RC) is a programming paradigm allowing programs to execute not only in the usual, forward direction, but also backwards, recovering past states. Since RC allows to avoid the Landauer limit, a lower bound to the amount of energy needed to perform an irreversible computation, it comes with the promise of providing computing technology more efficient than any other. Thus, we believe that in the near future RC will become a main player in the quest for energy-efficient computing. We call such transition the RC revolution.
However, currently RC is very far from the level needed to support the RC revolution and become mainstream. There is the need for new reversible hardware and architectures, new programming languages, and new algorithms, in particular in energy-intensive areas such as machine learning, blockchains and drones. E-CoRe aims at setting the stage for the RC revolution by tackling the challenges above and by forming a community of experts with deep understanding of RC intricacies.
