Computer Science and Mathematics
Modeling and simulation in Computer Science and Mathematics include simulation of new architectures, simulations of network response, and tool development for other science domain applications and approaches. The development of simulations for science domain applications often requires the collaboration of domain scientists with computational, mathematical, and statistical scientists.
- Simulation of computer systems and architectures that do not yet exist enables computer scientists to explore new system concepts and to develop software for forthcoming systems. Simulation of existing computer systems can lead to a better understanding of the detailed behavior of running systems.
- Simulations of high-performance interconnection networks are useful for evaluating system vulnerabilities and performance characteristics.
- Modeling and simulation play a role for abstractions such as semantic and linguistic applications.
- Computer science and mathematics research areas include determining the usability of simulations, the validity of models, and the accuracy of simulations.