Publication 1999 Issue No. 5 - May Abstract - A New Network Topology with Multiple Meshes
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A New Network Topology with Multiple Meshes
May 1999 (vol. 48 no. 5)
pp. 536-551
 ASCII Text x Debasish Das, Mallika De, Bhabani P. Sinha, "A New Network Topology with Multiple Meshes," IEEE Transactions on Computers, vol. 48, no. 5, pp. 536-551, May, 1999.
 BibTex x @article{ 10.1109/12.769436,author = {Debasish Das and Mallika De and Bhabani P. Sinha},title = {A New Network Topology with Multiple Meshes},journal ={IEEE Transactions on Computers},volume = {48},number = {5},issn = {0018-9340},year = {1999},pages = {536-551},doi = {http://doi.ieeecomputersociety.org/10.1109/12.769436},publisher = {IEEE Computer Society},address = {Los Alamitos, CA, USA},}
 RefWorks Procite/RefMan/Endnote x TY - JOURJO - IEEE Transactions on ComputersTI - A New Network Topology with Multiple MeshesIS - 5SN - 0018-9340SP536EP551EPD - 536-551A1 - Debasish Das, A1 - Mallika De, A1 - Bhabani P. Sinha, PY - 1999KW - MeshKW - multimeshKW - diameterKW - Hamiltonian cycleKW - point-to-point communicationKW - one-to-all broadcastKW - multicastKW - fault-diameterKW - Lagrange's interpolationKW - matrix transposeKW - matrix multiplicationKW - DFT.VL - 48JA - IEEE Transactions on ComputersER -

Abstract—This paper introduces a new network topology, called Multi-Mesh (MM), which uses multiple meshes as the basic building blocks interconnected in a suitable manner. The proposed network consists of $n^4$ processors and is 4-regular with a diameter of $2n$. The network also contains a Hamiltonian cycle. Simple routing algorithms for point-to-point communication, one-to-all broadcast, and multicast have been described for this network. It is shown that a simple $n^2\times n^2$ mesh can also be emulated on this network in O(1) time. Several application examples have been discussed for which this network is found to be more efficient with regard to computational time than the corresponding mesh with the same number of processors. As examples, O$(n)$ time algorithms for finding the sum, average, minimum, and maximum of $n^4$ data values, located at $n^4$ different processors have been discussed. Time-efficient implementations of algorithms for solving nontrivial problems, e.g., Lagrange's interpolation, matrix transposition, matrix multiplication, and Discrete Fourier Transform (DFT) computation have also been discussed. The time complexity of Lagrange's interpolation on this network is O$(n)$ for $n^2$ data points compared to O($n^2$) time on mesh of the same size. Matrix transpose requires O$(n^{0.5}$) time for an $n \times n$ matrix. The time for multiplying two $n\times n$ matrices is O$(n^{0.6})$ with an AT-cost of O$(n^3)$. DFT of $n$ sample points can be computed in O$(n^{0.6})$ time on this network. Papers [6], [7] show that $n^4$ data elements can be sorted on this network in $O(n)$ time.

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Index Terms:
Mesh, multimesh, diameter, Hamiltonian cycle, point-to-point communication, one-to-all broadcast, multicast, fault-diameter, Lagrange's interpolation, matrix transpose, matrix multiplication, DFT.
Citation:
Debasish Das, Mallika De, Bhabani P. Sinha, "A New Network Topology with Multiple Meshes," IEEE Transactions on Computers, vol. 48, no. 5, pp. 536-551, May 1999, doi:10.1109/12.769436