Future process technologies will offer computing capabilities vastly superior to what is available today, but at the expense of increasingly greater statistical behavior in terms of their parameters. The key question is whether existing deterministic computational paradigms can be made to work in these processes, or if new models of computation, most likely including statistical aspects, would be more appropiate. In addition, the models of computation will have to offer the mathematical tools to realize the potential of the technology, and to analyze the implementation trade-offs involving uncertainty and massive parallelism.

The Computational Models SIG is transverse to all four themes as it attempts to provide mathematical foundations to the GSRC research team. As such, it is closely related to the activities of the Core Theme and of the Alternatives Theme, where statistical computational models are presently being investigated (whence the choice of the leaders of the SIG). This SIG will provide a platform to exchange ideas between researchers working in both statistical and deterministic computational models. Collaborations with computational theorists in FENA will be explored as well.