{'fraction_non_alphanumeric': 0.019736842105263157, 'fraction_numerical': 0.0, 'mean_word_length': 5.842696629213483, '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}}
Cache-Conscious Thread Scheduling for Massively Multithreaded Processors

Highly multithreaded architectures introduce another dimension to fine-grained hardware cache management. The order in which the system's threads issue instructions can significantly impact the access stream seen by the caching system. This article studies a set of economically important server applications and presents the cache-conscious wavefront scheduling (CCWS) hardware mechanism, which uses feedback from the memory system to guide the issue-level thread scheduler and shape the access pattern seen by the first-level cache.