Abstract
Scientific computing has become a tool as vital as experimentation and theory for dealing with scientific challenges of the twenty‐first century. Large scale simulations and modelling serve as heuristic tools in a broad problem‐solving process. High‐performance computing facilities make possible the first step in this process — a view of new and previously inaccessible domains in science and the building up of intuition regarding the new phenomenology. The final goal of this process is to translate this newly found intuition into better algorithms and new analytical results.In this presentation we give an outline of the research themes pursued at the Scientific Computing Laboratory of the Institute of Physics in Belgrade regarding large‐scale simulations of complex classical and quantum physical systems, and present recent results obtained in the large‐scale simulations of granular materials and path integrals.
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