Computational Science Introduction

Trends and Importance

Focus on Problem-solving with multidisciplinary teams based on the unifying concept of computation.
Addressing the need for Scalable Algorithms, methods and tools that allow to tackle Grand Challenges problems overcoming the performance gap.
Developing Collaboratories which are essential in allowing scientists in distant locations to efficiently collaborate in solving problems.
An increasing number of Computational Science Centres in US, still slow uptake in Europe and currently only 3 in UK (CCLRC, Manchester and UCL), so we have a great chance to lead the developments in UK and have a big impact.
Forming a cross-cutting multidisciplinary theme in Computational Sciences gives us the possibility to have a critical mass, tackling important scientific problems in many areas of our research strength which would not be possible otherwise.

Develop environments enabling scientists to efficiently implement these models on the highest performance computers, developing tools to manage, analyse and visualize the data that results from computational experiments, and through advanced networking to link the computing facilities with the scientists;
Tackling large scale (Grand Challenges) problems, developing novel modelling/computational techniques in a multidisciplinary way, this being particularly important for research problems that are insoluble by traditional theoretical and experimental approaches, hazardous to study in the laboratory, or very time-consuming or expensive to solve by traditional computational means;
Addressing the growing need for scalable algorithms, methods and tools that allow one to tackle Grand Challenges problems overcoming the performance gap between the needs of the science and the capabilities of existing modelling methods and systems;
Develop collaboratories and apply e-Science methods that allow scientists in distant locations to efficiently collaborate in solving problems.