Search results for "Systems simulation"
showing 3 items of 3 documents
Parameter estimation: an advanced simulation tool in biomedicine
1990
Parameter estimation as an advanced tool in biomedicine have become extremely important in the study of biological systems. With increasing physiological knowledge and more efficient computers, modelling, simulation, and estimation have grown during the past 20 years to one of the most powerful tools of biomedical system analysis. Moreover modelling, simulation and estimation is of growing importance for determination of non-measurable parameters and state variables of biomedical systems as well as for case studies research of biomedical processes, which have been developed by physicians and system engineers and have also been widely accepted by biomedical scientists. These models already d…
Improving checkpointing intervals by considering individual job failure probabilities
2021
Checkpointing is a popular resilience method in HPC and its efficiency highly depends on the choice of the checkpoint interval. Standard analytical approaches optimize intervals for big, long-running jobs that fail with high probability, while they are unable to minimize checkpointing overheads for jobs with a low or medium probability of failing. Nevertheless, our analysis of batch traces of four HPC systems shows that these jobs are extremely common.We therefore propose an iterative checkpointing algorithm to compute efficient intervals for jobs with a medium risk of failure. The method also supports big and long-running jobs by converging to the results of various traditional methods for…
Approximation of Continuous Media Models for Granular Systems Using Cellular Automata
2004
In this paper a new cellular automata model suitable for granular systems simulation is presented. The proposed model is shown to be equivalent to a particularization of the well known BCRE model of granular systems and a correspondence between the parameters of the presented model and the BCRE model is also set, allowing to fit these parameters for a given system. The model has the advantage over other cellular automata models of being more realistic in the behavior of the surface of heaps and slopes. The dynamics of the CA is analyzed in order to confirm that it also has one of the most important features of these systems, 1/f noise.