{'fraction_non_alphanumeric': 0.019536019536019536, 'fraction_numerical': 0.001221001221001221, 'mean_word_length': 5.074074074074074, '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}}
Latency Analyses of CC-NUMA and CC-COMA Rings

This paper focuses comparative performance modeling and evaluation of CC-NUMA and CC-COMA on a hierarchical ring shared-memory architecture. Intensive performance measurements of the two models have been conducted on the KSR-1. The experimental results support the analytical models, and present practical observations and comparisons of the two cache coherence memory systems. Our analytical and experimental results show that a CC-COMA system balances the work load well. However the overhead of frequent data movement may match the gains obtained from improving load balance. Although a CC-NUMA system may not automatically balance the load at the system level, it provides an option for a user to explicitly handle data locality for a possible performance improvement.