The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we describe a parallel algorithm for generating interpolatory approximations to molecular potential energy surfaces. We show how that algorithm can be applied to efficiently model a transition from a stable ground state, to an excited state, and finally to a different stable ground state.
Inverse heat conduction problem can be found in many engineering fields, and has the characteristics of nonlinearity, ill-posedness and massive-computation. In this paper, a parallel Particle Swarm Optimization (PSO) algorithm is proposed to solve inverse heat conduction problem, after choosing parameters determining condition. The numeric results show that the algorithm has high accuracy and can...
Due to the nonlinear of the Black-Scholes option pricing model, r and σ were not easy to be solved by analytic method. Quantum-behaved Particle Swarm Optimization (QPSO) algorithm was proposed to estimate the parameters because of its global search ability and robustness. In the process of optimization, Black-Scholes option pricing formula was used as the research object to establish the algorithm...
Two kinds of parallel genetic algorithm (PGA) are implemented in this paper based on the MATLAB® Parallel Computing Toolbox™ and Distributed Computing Server™ software. Parallel for-loops, SPMD (Single Program Multiple Data) block and co-distributed arrays, three basic parallel programming modes in MATLAB are employed to accomplish the global and coarse-grained PGAs. To validate and compare our implementation,...
For special structured linear systems, WZ factorizations of matrices are basic mathematical theories to design a class of parallel solving algorithms. So, firstly, new WZ factorizations for the p-tridiagonal matrix are proposed and proved. Next, an effective parallel algorithm is designed. Solving both the subsystem in each processor and the reduced subsystem makes use of the WZ factorization so that...
GRAPES (Global/Regional Assimilation and PrEdiction System) is a new developed numerical weather prediction system and will be implemented operationally in the next few years at China Meteorological Administration (CMA). For a global semi-implicit semi-Lagrangian numerical prediction model formulated in spherical coordinates, due to the convergence of meridians, the longitudinal grid size decreases...
The key of volunteer computing is to fully utilize computing resources. However, the efficiency of volunteer computing can always be affected by volatility of available nodes and uncertainty of network environment. In order to enhance resource allocation efficiency in volunteer computing, this paper presents an inframarginal analysis based resource allocation method, which distributes computing task...
In the field of wireless sensor network, it is one of the hottest issues of current research that how to maintain the quality of network coverage and balance nodes' energy consumption to optimize the network lifetime. This paper analyzed LEACH (low energy adaptive clustering hierarchy) and proposed an energy-efficient distributed clustering algorithm on coverage (ECAC). In the algorithm, the redundancy...
Kriging is one of the important interpolation methods in geostatistics, which has been widely applied in engineering project. In this paper, we present an efficient method for the parallelization of universal Kriging interpolation on shared memory multiprocessors. By using OpenMP directives, we implement a portable parallel algorithm, which enables an incremental approach to add parallelism, without...
This paper provides an overview of some of the techniques and methodologies utilized in the modelling of complex systems that involve many interacting components with different physical properties over different spatial and temporal scales. Such systems are difficult to resolve, since they exhibit high levels of uncertainty. We discuss modelling strategies and present some applications from the field...
We introduce a basket option pricing problem arisen in financial mathematics. We discretized the problem based on the alternating direction implicit (ADI) method and parallel cyclic reduction is applied to solve the set of tridiagonal matrices generated by the ADI method. To reduce the computational time of the problem, a general purpose graphics processing units (GP-GPU) environment is considered...
The paper investigates the scalability of a parallel Euler solver, using the Vijayasundaram method, on a GPU cluster with 32 Nvidia Geforce GTX 295 boards. The aim of this research is to enable large scale fluid dynamics simulations with up to one billion elements. We investigate communication protocols for the GPU cluster to compensate for the slow Gigabit Ethernet network between the GPU compute...
Ligaments in the knee that connect the femur to the tibia are often torn during a sudden twisting motion, which results in instability in the knee. In such cases ligament repair surgery may be an effective treatment where the ligament involved is replaced with a piece of healthy tendon which is grafted into place to hold the knee joint together. A novel device for use in knee ligament repair surgery...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.