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Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications., , , , and . SC, page 46. IEEE/ACM, (2020)AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications., , , , , , , , , and 20 other author(s). HPCA, page 1224-1237. IEEE, (2022)IDGSC: An Immunity-Based Approach for Dynamic Grid Service Classification., , , , , and . FSKD (2), page 160-165. IEEE Computer Society, (2007)0-7695-2874-0.Characterizing Multi-Instance GPU for Machine Learning Workloads., , , and . IPDPS Workshops, page 724-731. IEEE, (2022)Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale., , , , , , , and . CoRR, (2024)Driving Climatic Factors at Critical Plant Developmental Stages for Qinghai-Tibet Plateau Alpine Grassland Productivity., , , , , , , , , and . Remote. Sens., 14 (7): 1564 (2022)From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference., , , , , , , , , and . HPEC, page 1-9. IEEE, (2023)The MIT Supercloud Workload Classification Challenge., , , , , , , , , and 19 other author(s). IPDPS Workshops, page 708-714. IEEE, (2022)Estimation and mapping of soil organic matter content at a national scale based on grid soil samples, a soil map and DEM data., , , and . Ecol. Informatics, (2021)RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances., , , , , and . SC, page 24. ACM, (2021)