A Parallel Random Access Machine (PRAM) Model for English Language Recognizer (PRAM-ELR)

As, technology grows day by day,computers become ever faster with its importance and having maximum computing power, computational cost also increases, development at its high end then we state that parallel computing technology (parallelism) is the main building block of this era of development and, for this purpose, therefore, all aspects have been thought about to meet the need of time. Uni-processing abstracted into parallel processing. Many visions of parallel computing included Parallel Random Access Machine (PRAM), Graphical Processing Unit (GPU), Compute Unified Device Architecture extension in C-language (CUDA –C) , Local Area Multicomputer- Message Passing Interface (LAM-MPI),cluster and grid computer etc have been used in different fields. Many of the sequential algorithms can be implemented parallel to increase efficiency, computing power, computational cost and speed. Here, we proposed a Parallel Random Access Model (PRAM) of the algorithm of ELR – NPDA [1] to make it more efficient, fast and powerful so that, this new parallel version of ELR–NPDA [1] called PRAM-ELR can be parse large data set speedier