Parallel and multiprocessing algorithms break down significant numerical problems into smaller subtasks, reducing the total computing time on multiprocessor multicore computers. programming is well supported in proven languages such as C Python, which are suited to “heavy-duty” computational tasks. Historically, Python has been regarded a strong supporter of parallel due global interpreter lock...

We investigate the problem of permuting n data items on an EREW PRAM with p processors using little additional storage. We present a simple algorithm with run time O((n/p)logn) and an improved algorithm with run time O(n/p+logn loglog(n/p)). Both algorithms require n additional global bits and O(1) local storage per processor. If preex summation is supported at the instruction level, the run ti...

Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing. On the other hand, wavelet transform (WT) with both the time and the frequency resolution provides the exact representation of signal in both doma...