{'fraction_non_alphanumeric': 0.018134715025906734, 'fraction_numerical': 0.0051813471502590676, 'mean_word_length': 5.721739130434782, '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}}
RPPM: Rapid Performance Prediction of Multithreaded Applications on Multicore Hardware

This paper proposes RPPM which, based on a microarchitecture-independent profile of a multithreaded application, predicts its performance on a previously unseen multicore platform. RPPM breaks up multithreaded program execution into epochs based on synchronization primitives, and then predicts per-epoch active execution times for each thread and synchronization overhead to arrive at a prediction for overall application performance. RPPM predicts performance within 12 percent on average (27 percent max error) compared to cycle-level simulation. We present a case study to illustrate that RPPM can be used for making accurate multicore design trade-offs early in the design cycle.