{'fraction_non_alphanumeric': 0.011111111111111112, 'fraction_numerical': 0.0, 'mean_word_length': 5.834482758620689, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Parallel Programming Models and Paradigms: OpenMP Analysis

The increase demand for processing power has grown over the years, this demand lend to the parallel approach which means linking a bunch of computers together to jointly increase both the speed and efficiency. The parallelism approach plays a significant role in the new generation’s applications by moving the technologies from expensive and specialized parallel supercomputers to linking a set of computers. Throughout the years, the parallel approach lends to parallel programming models which exists above hardware and memory architectures. It is a collection of software technologies that present parallel algorithms and resembling applications with underlying system. This paper describes the essential concept of parallel programming and a brief overview of different areas of parallel programming models and paradigms. Furthermore, it implements and evaluates OpenMP parallel programming and illustrates its effectiveness.