Titlebook: Large-Scale Scientific Computing; Third International Svetozar Margenov,Jerzy Waśniewski,Plamen Yalamov Conference proceedings 2001 Spring

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Statistical Algorithms for Simulation of Electron Quantum Kinetics in Semiconductors - Part Iramework of the Monte Carlo (MC) method. The first part of the work considers the zero electric field formulation of the equation in spherical coordinates. Different MC algorithms for solving the equation are suggested and investigated. In the second part of the work we consider the case of an appli

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IC2D: Interactive Control and Debugging of Distributionractive Control and Debugging of Distribution. Applications developped using the 100% Java ProActive PDC (Parallel, Distributed and Concurrent) computing library are monitored for ‘free’ by .. As those targetted applications can run on any distributed runtime support ranging from multiprocessor work

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On the Parallelization of the Sparse Grid Approach for Data Mininge is moderately high. The computation on each grid of the sequence of grids is independent of each other and therefore can be done in parallel already on a coarse grain level. A second level of parallelization on a fine grain level can be introduced on each grid through the use of threading on share

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Time-Integration Algorithms for the Computer Treatment of the Horizontal Advection in Air Pollution , but also have better stability properties, are chosen. Some norms of the wind velocity vectors are calculated and used in the check of the stability requirements. Reductions of the time-step size are avoided (or, at least, reduced considerably) when the PC schemes are appropriately varied. This le

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rease of the tumor marker α-fetoprotein is seen or if the α-fetoprotein concentrations remain just above the normal range. A rise of α-fetoprotein in these HT1 patients is more or less pathognomonic for liver cancer. Although hepatoblastoma development occurs in HT1 patients, most HT1 patients devel