Wave Pipelined Area Efficient LDPC Encoder

This paper present efficient design of Low Density Parity Check (LDPC) Encoder with wave psipeline. Comparing to decoding, LDPC Encoding was relatively more complex. There are several methods to perform encoding. Among all the existing methods to reduce parity check matrix Gauss Elimination method was used. To overcome the cons like latency and area overheads of conventional pipelining, Wave pipelining technique was used. LDPC encoding was designed with different stages of pipeline and the encoding performance is evaluated with wave pipeline. Implementation of this architecture was done on Xilinx FPGA XC2VP100 device. Wave pipeline will reduce the time delay and area overhead which can be proved by synthesis report.

CUDA Based Parallel Computation for Gauss Elimination Method

The Central Processing Unit (CPU) parallel algorithm based on Computing Unified Device Architecture (CUDA) has shown great power of computing speedup ability. What performance will the new technique show in the field of structural computation? We choose the Gauss elimination method as the research object. In this study, the parallel Gauss elimination is realized in CUDA on GPU. Furthermore, we carry out two groups of numerical experiments. The first group investigates the effect of Matrix Bandwidths (MBs) and Node Numbers (NNs) on speedup ratio. The second one compares our method with the commercial software by analyzing two actual structural problems in ocean engineering.

Shock waves analysis of planar and non planar nonlinear Burgers’ equation using Scale-2 Haar wavelets

Purpose This paper aims to find the numerical solution of planar and non-planar Burgers’ equation and analysis of the shock behave. Design/methodology/approach First, the authors discritize the time-dependent term using Crank–Nicholson finite difference approximation and use quasilinearization to linearize the nonlinear term then apply Scale-2 Haar wavelets for space integration. After applying this scheme on partial differential, the equation transforms into a system of algebraic equation. Then, the system of equation is solved using Gauss elimination method. Findings Present method is the extension of the method (Jiwari, 2012). The numerical solutions using Scale-2 Haar wavelets prove that the proposed method is reliable for planar and non-planar nonlinear Burgers’ equation and yields results better than other methods and compatible with the exact solutions. Originality/value The numerical results for non-planar Burgers’ equation are very sparse. In the present paper, the authors identify where the shock wave and discontinuity occur in planar and non-planar Burgers’' equation.