{'fraction_non_alphanumeric': 0.021739130434782608, 'fraction_numerical': 0.002898550724637681, 'mean_word_length': 4.956896551724138, '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}}
Accurate performance prediction of multi-GHz CML with data run-length variations

Accurate prediction of multi-GHz CML dependency on data run-time variation requires precise device models at those frequencies. Inconsistencies caused in the CML by run-time variations of the input data are clearly demonstrated. Further, an accurate RF MOSFET model that can be dynamically changed to adapt to the input data stream variations is implemented. This model is used to simulate a CML buffer, where symmetrical and asymmetrical variations in the data stream run-length are considered. The simulation results show that the data run-length variations can degrade the buffer output by as much as 40%.