Name:SLinCA
Description:Scaling Laws in Cluster Aggregation
Abstract:The processes of monomer aggregation in clusters are investigated in many branches of science: defect aggregation in materials science, population dynamics in biology, city growth and evolution in sociology, etc. The typical simulation of a cluster aggregation scenario takes several days on a single modern processor, depending on the number of Monte Carlo steps (MCS). However, thousands of scenarios have to be simulated with different initial configurations to get statistically reliable results. The parallel execution environment can reduce the waiting time and scale up the simulated system to the desirable realistic values.
The applications also runs on a BOINC Desktop Grid platform and was ported within the framework of the FP7 EDGeS and DEGISCO projects.
Created:2011-02-25
Last updated:2013-06-12
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