By Sanjay Ranka, Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sandeep Gupta, Ananth Grama, Rajeev Kumar, Vir V. Phoha, Sumeet Dua
This publication constitutes the refereed papers of the second foreign convention on modern Computing, which used to be held in Noida (New Delhi), India, in August 2009. The sixty one revised complete papers provided have been conscientiously reviewed and chosen from 213 submissions and concentrate on issues which are of latest curiosity to desktop and computational scientists and engineers. The papers are equipped in topical sections on Algorithms, functions, Bioinformatics, and structures.
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Additional info for Contemporary Computing: Second International Conference, IC3 2009, Noida, India, August 17-19, 2009. Proceedings (Communications in Computer and Information Science)
The algorithm is expressed in simple matrix form and it facilitates easy implementation of the algorithm and allows for an extension to multidimensional cases. A systolic algorithm that uses the advantages of cyclic convolution structure has been presented in  for the VLSI implementation of a prime length DHT. Recently a new formulation using cyclic convolutions has been presented in , which leads to modular structures consisting of simple and regular systolic arrays for concurrent memory-based realization of the DHT and increases the throughput.
Finite Difference Method (FDM) – powered by its simplicity – is one of the most widely used techniques to solve PDEs numerically. But it fails to produce better result in problems where the solution is having both sharp and smooth variations at different regions of interest. In such cases, to achieve a given accuracy an adaptive scheme for proper grid placement is needed. In this paper we propose a method, ‘Multiwavelet Optimized Finite Difference Method’ (MWOFD) to overcome the drawback of FDM.
It can be directly mapped into the SFD and provides a regular structure for easy implementation in VLSI . 5 Conclusions Unlike Bracewell’s and Sorenson’s algorithms which require the computation of stage dependent cosine and sine coefficients, the proposed algorithm computes lesser number of stage independent cosine coefficients only. It introduces multiplying structures in the signal flow diagram and simplifies the stage structures by making them similar. The distinct advantage of the proposed algorithm is that the operation count is reduced by reducing the multiplications without affecting the additions.
Contemporary Computing: Second International Conference, IC3 2009, Noida, India, August 17-19, 2009. Proceedings (Communications in Computer and Information Science) by Sanjay Ranka, Srinivas Aluru, Rajkumar Buyya, Yeh-Ching Chung, Sandeep Gupta, Ananth Grama, Rajeev Kumar, Vir V. Phoha, Sumeet Dua