Economic dynamics: Phase diagrams and their economic application
Economic dynamics: Phase diagrams and their economic application
ASPEN: A Microsimulation Model of the Economy
Computational Economics - Special issue on numerical methods in economics and finance
Plasma Physics Via Computer
A federated approach to distributed network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Conservative synchronization of large-scale network simulations
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Parallel Event-Driven Neural Network Simulations Using the Hodgkin-Huxley Neuron Model
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Optimistic Parallel Discrete Event Simulations of Physical Systems Using Reverse Computation
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
DSIM: scaling time warp to 1,033 processors
WSC '05 Proceedings of the 37th conference on Winter simulation
Large atmospheric computation on the earth simulator: The LACES project
Scientific Programming
| Hi-index | 0.00 |
The computer power required in the simulation of mutually cooperating systems in the physical sciences is huge. Therefore, it is common to simulate one system and treat others as parameters or environmental conditions to the simulated system. Macro-Micro Interlocked (MMI) simulation framework has been proposed to simulate such cooperating systems. In this paper, we study the feasibility of applying this framework on the simulation of macro-micro economic model. This simulation allows us to observe the system's behaviour at the macro and micro levels concurrently. Policy changes at the macroeconomic level may affect the behaviour of the entities at the microeconomic level. Similarly, the behaviour changes at the microeconomic level may affect the macroeconomic system. We implement an MMI simulation library suitable for execution on a cluster of PCs. At this early stage, the experiment shows a promising result which provides us with a foundation to experiment with a larger model.