G. Mahinthakumar

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The authors present a metacomputing application of multivariate, nonhierarchical statistical clustering to geographic environmental data from the 48 conterminous United States in order to produce maps of regions of ecological similarity, called ecoregions. These maps represent finer scale regionalizations than do those generated by the traditional(More)
A parallel supercomputer model based on realistic tissue data is developed for sound propagation in the human thorax and the sound propagation behavior is analyzed under various conditions using artificial sound sources. The model uses the Visible Human male data set for a realistic representation of the human thorax. The results were analyzed in time and(More)
The hybrid MPI-OpenMP model is a natural parallel programming paradigm for emerging parallel architectures that are based on symmetric multiprocessor (SMP) clusters. This paper presents a hybrid implementation adapted for an implicit finite-element code developed for groundwater transport simulations. The original code was parallel-ized for distributed(More)
{ In this paper we present parallel solvers for large linear systems arising from the nite-element discretization of three-dimensional groundwater ow problems. We have tested our parallel implementations on the Intel Paragon XP/S 150 super-computer using up to 1024 parallel processors. Our solvers are based on multigrid and Krylov subspace methods. Our goal(More)
We describe the implementation and analyze the performance of a parallel finite–element multi-component groundwater transport code on a variety of parallel architectures. The code exhibits characteristics that are typical to many simulation codes such as explicit communication, global reduction operations, sparse matrix operations, and parallel I/O. The(More)
In this paper we present parallel solvers for large linear systems arising from the finite–element discretization of three–dimensional groundwater flow problems. We have tested our parallel implementations on the Intel Paragon XP/S 150 supercomputer using up to 1024 parallel processors. Our solvers are based on multigrid and Krylov subspace methods. Our(More)
The computation of Contaminant Source Characterization (CSC) is a critical research issue in Water Distribution System (WDS) management. We use a simulation framework to identify optimized locations of sensors that lead to fast detection of contamination sources [1, 2]. The optimization engine is based on a Genetic Algorithm (GA) that interprets trial(More)
Accidental drinking water contamination has long been and remains a major threat to water security throughout the world. Consequently, contamination source identification is an important and difficult problem in the managing safety in water distribution systems. This problem involves the characterization of the contaminant source based on observations that(More)
Performance models of high performance computing (HPC) applications are important for several reasons. First, they provide insight to designers of HPC systems on the role of subsystems such as the processor or the network in determining application performance. Second, they allow HPC centers more accurately to target procurements to resource requirements.(More)