{'fraction_non_alphanumeric': 0.020833333333333332, 'fraction_numerical': 0.010964912280701754, 'mean_word_length': 5.12751677852349, '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}}
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets

As modern computing clusters used in scientific computing applications scale to ever-larger sizes and capabilities, their operational energy costs have become prohibitive. While it is an emerging trend in modern cluster design to optimize for low energy consumption in the individual computational nodes, little attention has been paid to reducing the energy used by the communication network that connects the nodes. In this work, we consider a 3D torus network similar to the one in BlueGene/L to explore opportunities for link shutdown during collective communication operations. For example, we demonstrate that in the case of all-to-one reduce codes, approximately 99% of the total network link time can be spent in a shutoff state on a 64-node toroidal network, thus reducing the overall system energy by approximately 15-28%.