Accelerating Workload Processing with MPI for Porter 's Stemming Algorithm

Stemming is the process of reducing a word to the root of words known as a lemma. For example, a stemming algorithm reduces the words "likes" and "likely" to the stem "like". Stemming is a part of linguistic studies and is used in information retrieval and extraction; and plays a critical role in artificial intelligence (AI), especially in natural language processing (NLP). Computers are now equipped with multicore processors and many of the software solutions to a diversity of problems do not take advantage of all these cores to process information and accelerate the processing of workloads. This research presents an effort to accelerate workload processing through the use of Message Passing Interface (MPI) for Porter's stemming algorithm.