Chemical Engineering and the Computational Grid

Abstract:

For the biological and chemical process systems communities, cyberinfrastructure must include a full spectrum of capability. Problem demands pbkp_redict a rapid build up of need for increasingly sophisticated computational resources and the mathematical and computer science expertise to move to new plateaus of application code. There is high demand for computational reliability, excellent utility, and the ability to manage data now. Particularly strong is the need to manage dynamic data and information flow and the demand for tools to interpret data, mine data and extract knowledge. Another major need is the solution of very large-scale simulation and optimization models that are currently intractable. Visualization is seen as an increasingly important priority along with data interpretation. There is high demand for algorithm/software engineering and there is excitement about community-based models. Data security is not a value-add for the industry, but is recognized as a necessary priority. As an example of cyber infrastructure development, this paper describes the build out of the University of California computational research enterprise to provide researchers the necessary spectrum of capability through grid access to university, inter-university and national resources. The ultimate vision of the University of California Grid Project is an computational research enterprise comprised of virtualized resources across geographical locations, where any given location could be optimized for a particular type or class of service and then be made available to a wide range of researchers through a unified, web-based Grid interface. Extremely high …

Año de publicación:

2007

Keywords:

Fuente:

google