Different approaches are presented to simulate the nonlinear nonperturbative response of molecules to short intense laser fields. Different time scales, electronic vs. nuclear and transitions from bound (discrete spec...
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Different approaches are presented to simulate the nonlinear nonperturbative response of molecules to short intense laser fields. Different time scales, electronic vs. nuclear and transitions from bound (discrete spectra) to continuum states are inherent problems in current simulations. An overview of these problems encountered and estimates of computer requirements are made for this new branch of science and high technology: molecular photonics.
In this paper, we present a parallel algorithm for Gaussian elimination: in both a shared memory environment using OpenMP, and in a distributed memory environment using MPI. Parallel LU and Gaussian algorithms for lin...
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In this paper, we present a parallel algorithm for Gaussian elimination: in both a shared memory environment using OpenMP, and in a distributed memory environment using MPI. Parallel LU and Gaussian algorithms for linear systems are studied extensively, and the the results of examining various load balancing schemes on both platforms are presented. the results show an improvement in many cases over the default implementation.
Energy efficient architecture research has flourished recently, in an attempt to address packaging and cooling concerns of current microprocessor designs, as well as battery life for mobile computers. Moreover, archit...
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In this paper we are concerned withthe efficient use of a collection of disk-based storage systems and computing platforms in a heterogeneous setting for retrieving and processing large scientific datasets. We demons...
Recently a number of studies have indicated that network traffic exhibits noticeable self-similar behaviour, i.e., traffic is bursty over a wide range of time scales. this fractal-like nature of traffic has received s...
Traditional network design incorporates a failure-recovery model in order to allow calculation of problems independent of knowledge of the network tool layer. this paper explores the possibilities of improving the cal...
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Traditional network design incorporates a failure-recovery model in order to allow calculation of problems independent of knowledge of the network tool layer. this paper explores the possibilities of improving the calculation throughput by constructing a tool for the specific solution of problems which have an inherent ability to deal with partial calculation failure. Using a modified Genetic Algorithm as the client tool, the amount of information the network layer needs to have is brought to an extremely minimal level; this allows for a large scalability factor of the tool due to the reduction of network management tables.
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