发表机构
Lancaster University（兰卡斯特大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本卷收录LOCO 2026研讨会14篇闪电演讲，涵盖碳测量、碳感知调度、可持续AI等主题，旨在推动低碳计算的技术、组织与社会讨论。
AI 中文摘要
本卷收录了第二届低碳计算国际研讨会（LOCO 2026）录用的闪电演讲贡献，该研讨会于2026年9月10日至11日在英国兰卡斯特大学举行。本合集汇集了14篇短文，展示了关于减少计算环境影响的 emerging research（新兴研究）、早期结果、实用工具和批判性视角。主题包括碳与能源测量、碳感知调度、可持续人工智能与机器学习、高性能计算、计算充分性、硬件长寿、互操作性、节俭计算以及数字技术的后增长方法。这些贡献由LOCO 2026程序委员会根据其与研讨会的相关性及其在技术、组织和社会维度上激发低碳计算讨论的潜力而遴选。它们作为主LOCO 2026论文集索引的配套合集，共同收录于本编辑卷中。
英文摘要
This volume contains the accepted lightning-talk contributions from the 2nd International Workshop on Low Carbon Computing (LOCO 2026), held at Lancaster University, United Kingdom, on 10-11 September 2026. The collection brings together 14 short papers presenting emerging research, early-stage results, practical tools, and critical perspectives on reducing the environmental impacts of computing. Topics include carbon and energy measurement, carbon-aware scheduling, sustainable artificial intelligence and machine learning, high-performance computing, computational sufficiency, hardware longevity, interoperability, frugal computing, and post-growth approaches to digital technology. The contributions were selected by the LOCO 2026 Programme Committee for their relevance to the workshop and their potential to stimulate discussion across technical, organisational, and societal dimensions of low-carbon computing. They are published together in this edited volume as a companion collection to the main LOCO 2026 proceedings index.
Comments27 pages; 14 contributed lightning-talk abstracts. Edited by Ignatius Ezeani, Adrian Friday, Abdessalam Elhabbash, John Vidler, Daniel King, and Paul Dempster. Part of the proceedings of the 2nd International Workshop on Low Carbon Computing (LOCO 2026), Lancaster University, United Kingdom, 10-11 September 2026. Main proceedings index: arXiv:2608.02072
