ECATNets (Extended Concurrent Algebraic Term Nets) are a kind of high-level algebraic net used for specifying various aspects of distributed and parallel systems. We address the problem of developing parallel simulati...
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ECATNets (Extended Concurrent Algebraic Term Nets) are a kind of high-level algebraic net used for specifying various aspects of distributed and parallel systems. We address the problem of developing parallelsimulation techniques to analyze ECAT-Nets. distributed discrete event simulation (DDES) is used to develop a simulation framework for studying their behaviour. The ECATNet model to be simulated is partitioned into several connected subnets. The various subnets are simulated in parallel by several logical processes. We develop and discuss a distributedsimulation protocol based on the conservative approach to execute discrete event simulations of ECATNets.
Presents a new approach to perform distributed event driven simulation that we have named the 'deblocking event algorithm'. This algorithm adopts the conservative paradigm, but takes into account the structura...
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Presents a new approach to perform distributed event driven simulation that we have named the 'deblocking event algorithm'. This algorithm adopts the conservative paradigm, but takes into account the structural properties of the simulation network to reduce the overhead that any distributedsimulation scheme inherently has. At the same time, the algorithm keeps a high degree of activity in the network of processes that performs the simulation, which means that the scheme obtains almost all the parallelism inherent in the problem. First, the distributedparallelsimulation problems and the classical approaches proposed to solve them are reviewed in this paper. Then, the properties of a simulation network are mathematically characterized. Finally, the deblocking event algorithm and some results concerning overhead reduction and the degree of activity in the network of processes are presented.
The simulation of computational fluid dynamics problems in two and more dimensions involves computations of multiple degrees of freedom, such as the components of velocity, which are an obvious source of parallelism. ...
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The simulation of computational fluid dynamics problems in two and more dimensions involves computations of multiple degrees of freedom, such as the components of velocity, which are an obvious source of parallelism. Further to our previous investigation in this area we report on our current experiences in extracting such parallelism on a distributed network platform. A finite element method for simulating incompressible viscous flows is parallelised using a domain decomposition approach. Various issues that arise in this implementation are discussed in the light of our experimental results.
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