To achieve optimal performance on a Beowulf cluster for large-scale scientific simulations, it’s necessary to combine the right numerical method with its efficient implementation to exploit the cluster’s critical high-performance components. This process is demonstrated using a simple

of simulations for stockpile assessment and certification. We begin with an examination of the roles for model development and validation in the traditional scientific method. The traditional view is that the scientific method has two foundations, experimental and theoretical. While the traditional scientific

Natural organic matter (NOM) is a heterogeneous mixture of compounds affecting ecosystem function and drinking water treatment. An agent-based stochastic model simulates NOM transformations, allowing forward modeling of NOM's synthesis and degradation. Its use of Java and Web technologies

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organization of data on disk, is as important as minimizing computation-time I/O. In this paper we propose optimizations to support efficient parallel I/O for scientific simulations and subsequent visualizations. We present an ordering mechanism to linearize data on disk, a performance model to help to choose

In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework

organization of data on disk, is as important as minimizing computation-time I/O. In this paper we propose optimizations to support efficient parallel I/O for scientific simulations and subsequent visualizations. We present an ordering mechanism to linearize data on disk, a performance model to help to choose

Abstract not found

We describe a web services system for managing scientific simulation metadata. We show how the use of an ap-propriate data model based on sets can help define operations to specify; filter; reduce or expand against a set of simulation jobs, parameter values or even filenames. We describe a Java

Abstract. For computer-based simulations to be scientifically useful and scientifically credible, they need to be developed to high standards, and argued fit-for-purpose. The CoSMoS project has developed an approach to support such development, and codified its approach in a pattern language. Here