Computational Science and Its Applications – ICCSA 2007: by M. Fikret Ercan (auth.), Osvaldo Gervasi, Marina L.

By M. Fikret Ercan (auth.), Osvaldo Gervasi, Marina L. Gavrilova (eds.)

The foreign convention on Computational technology and its purposes used to be held in Kuala Lumpur, Malaysia, in August 2007. The convention drew major researchers in computational technological know-how who got here to proportion their findings and speak about the most recent advancements and functions within the box. This three-volume set constitutes the refereed court cases of the conference.

The amazing papers in those volumes current a wealth of unique study ends up in the sphere of computational technological know-how, from foundational matters in machine technological know-how and arithmetic to complicated purposes in just about all sciences that use computational techniques.

The refereed papers are grouped in line with the 5 significant convention issues: computational equipment; algorithms and functions; excessive functionality technical computing and networks; complicated and rising purposes; geometric modeling, pix and visualization info structures and technologies.

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Additional resources for Computational Science and Its Applications – ICCSA 2007: International Conference, Kuala Lumpur, Malaysia, August 26-29, 2007. Proceedings, Part II

Example text

This result is supported by their efficiency comparison shown in Fig. 8a. Speed-up figures (Figs. 4b, 5b and 6b) also shows that the bigger the computational size, the better their speed-up. K. Hasan et al. 36M Linear Speed-up 6 Speed-up Simulation time (second) 22 5 4 3 2 5 1 0 0 1 2 3 4 5 1 6 2 3 4 5 6 Number of processor Number of processor a). b). 7 140 FDTD UHSLO(DD) 120 FDTD UHSLO(DD) UHSLO(TD) Linear Speed-up 6 UHSLO(TD) 100 Speed-up Simulation time (second) Fig. 6. UHSLO-FDTD(TD) a) execution time and b) speed-up 80 60 5 4 3 40 2 20 1 0 0 1 2 3 4 5 1 6 2 3 4 5 6 Number of processor Number of processor a).

Parallel implementations of EDG and MEG have also being implemented on shared memory multiprocessor machine [20,21,22,23]. Based on this concept, Hasan et al. [4] proposed a method call High Speed Low Order Finite Difference Time Domain (HSLO-FDTD) to solve one dimensional free space wave propagation problem. This method has successfully reduced 67% of one dimensional FDTD computing time (for time step approaching infinity). Inspired by these findings, the HSLO-FDTD method proposed in [4] will be extended to solve two dimensional problems.

Since the problem is large, we develop the parallel version of HSLO-FDTD method on distributed memory multiprocessor machine using message-passing interface. We examine the parallelism efficiency of the algorithm by analyzing the execution time and speed-up. Keywords: finite difference method, parallel algorithm, distributed memory multiprocessor, wave propagation. 1 Introduction Many modern advance technologies rely mainly on electromagnetic field. Wireless communication technology, for instance, with the assistant of antenna can fulfill the needs of modern lifestyle.

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