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The MIT Supercloud Dataset., , , , , , , , , и 17 other автор(ы). HPEC, стр. 1-8. IEEE, (2021)Benchmarking Resource Usage for Efficient Distributed Deep Learning., , , , , , , , и . HPEC, стр. 1-8. IEEE, (2022)The MIT Supercloud Workload Classification Challenge., , , , , , , , , и 19 other автор(ы). IPDPS Workshops, стр. 708-714. IEEE, (2022)AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications., , , , , , , , , и 20 other автор(ы). HPCA, стр. 1224-1237. IEEE, (2022)Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale., , , , , , , и . CoRR, (2024)From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference., , , , , , , , , и . HPEC, стр. 1-9. IEEE, (2023)Improved Compression for Word Embeddings by Scaling Principal Components., , , , , и . HPEC, стр. 1-7. IEEE, (2021)Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models., , , , , и . NAACL-HLT (Findings), стр. 1962-1970. Association for Computational Linguistics, (2022)A Sampling Theorem for Deconvolution in Two Dimensions., , и . CoRR, (2020)Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms., , , , , , , и . HPEC, стр. 1-7. IEEE, (2022)