{'fraction_non_alphanumeric': 0.0202808112324493, 'fraction_numerical': 0.0, 'mean_word_length': 5.757894736842105, '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}}
Data Structures for Scientific Simulation Programs

This research investigates data management, data structures, and constraints on data structure design in a cross section of programs known as "scientific models". Scientific models are large programs that use numerical approximation techniques to simulate physical phenomena for which exact solution is impossible, e.g. weather forecasting models. Scientific models, as a class, use remarkably similar data structures. The generic structures and access patterns in scientific models are the basis for functional specification of a data management system tailored to this application class.