How do scientists develop and use scientific software?
SECSE '09 Proceedings of the 2009 ICSE Workshop on Software Engineering for Computational Science and Engineering
Multicore Scheduling for Lightweight Communicating Processes
COORDINATION '09 Proceedings of the 11th International Conference on Coordination Models and Languages
Birds on the wall: distributing a process-oriented simulation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Reflections on the Simulation of Complex Systems for Science
ICECCS '10 Proceedings of the 2010 15th IEEE International Conference on Engineering of Complex Computer Systems
Communicating mobile processes
CSP'04 Proceedings of the 2004 international conference on Communicating Sequential Processes: the First 25 Years
| Hi-index | 0.00 |
Computing techniques are increasingly being used in scientific research to tackle a diverse set of problems. An example is complex systems research, which focuses on the use of computer simulations to explore, understand and describe the real-world system under study. These simulations are often sophisticated pieces of software with numerous design trade-offs between performance and ease of development and use. We propose a simulation framework for complex systems simulation that allows each component of a simulation---for example visualisation, or data analysis---to be developed in the most appropriate language. The framework uses the concept of shared objects to communicate data between simulation components. We present here a detailed motivation for multilingual simulations, an outline design and prototype for the simulation framework, and discuss future plans for the framework.