{'fraction_non_alphanumeric': 0.03838383838383838, 'fraction_numerical': 0.013131313131313131, 'mean_word_length': 5.352564102564102, '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}}
NanoLeak: A Fast Analytical Green’s Function-based Leakage-aware Thermal Simulator

In this paper, we propose NanoLeak, a comprehensive temperature simulator that incorporates both classical heat transfer mechanisms and nanoscale effects. It performs both steady state and transient analyses while automatically taking leakage into account. We derive closed-form expressions for the Green’s function (impulse response of a power source) for all scenarios with leakage; there is no need for the traditional, time-consuming iterative solutions. We show a speedup of 1250X for the classical heat transfer case (Fourier’s heat equation) with an error limited to 2.4% in computing the steady-state thermal profile. At nanoscale levels, the Boltzmann transport equation (BTE) is solved to analyze the temperature profile. In this paper, we analytically compute the leakage-aware solution for the gray-BTE model and compare the results against competing, state-of-the-art work (211-2580X speedup).