About CPSE
Collaborative Problem Solving Environments (CPSE) focus on the development and integration of scientific tools and technologies coupled with collaborative environments to support the modeling and simulation of complex scientific problems. These capabilities enable scientists to easily setup computations in an integrated environment that supports the storage, retrieval, and analysis of the rapidly growing volumes of data produced by computational studies.
The development and integration of intelligent graphical user interfaces and scientific visualization and analysis tools aid in the automation of modeling, analysis and data management. To enhance researchers' ability to share information and resources with colleagues at remote locations, collaborative, real-time technologies integrated into a problem-solving environment provide a unified approach to the scientific discovery process.
The goal of many large modeling and simulation projects is to produce high-performance modeling software and supporting development tools on advanced computer architectures along with the needed application expertise and solutions. A significant transformation in the tools used to collaborate, to set up, manage and analyze computational experiments, and to manage large, complex data sets is required. The integration of these tools into an innovative, collaborative problem-solving environment provides the computational facilities necessary to solve a variety of targeted problems.
Development of a general framework for a CPSE will lead to a standard software architecture that allows software modules from many sources to cooperate in solving complex scientific problems. Analogously, scientists are unlikely to be co-located while working on these problems, and require tools to facilitate the cooperative scientific process over long distances. Sophisticated communication networks will link the facilities of the future, and the interactions of scientists will have a large virtual component, as research is conducted in collaboration with scientists at many remote locations. This is especially true for the large-scale problems facing the U.S. Department of Energy (DOE) and the Nation in the environmental arena where no one scientist or group can be expected to solve a problem individually.