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DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs.

, , , , и . IEEE Trans. Parallel Distributed Syst., 34 (7): 2208-2220 (июля 2023)

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Damian Blumenröder

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Horus: An Interference-Aware Resource Manager for Deep Learning Systems., , , , , и . ICA3PP (2), том 12453 из Lecture Notes in Computer Science, стр. 492-508. Springer, (2020)Meeting (the) Pandemic: Videoconferencing Fatigue and Evolving Tensions of Sociality in Enterprise Video Meetings During COVID-19., , , , , , и . Comput. Support. Cooperative Work., 32 (2): 347-383 (июня 2023)Towards GPU Utilization Prediction for Cloud Deep Learning., , , , и . HotCloud, USENIX Association, (2020)DOPpler: Parallel Measurement Infrastructure for Auto-Tuning Deep Learning Tensor Programs., , , , и . IEEE Trans. Parallel Distributed Syst., 34 (7): 2208-2220 (июля 2023)Horus: Interference-Aware and Prediction-Based Scheduling in Deep Learning Systems., , , , , и . IEEE Trans. Parallel Distributed Syst., 33 (1): 88-100 (2022)The promise and peril of parallel chat in video meetings for work., , , , , , , и . CHI Extended Abstracts, стр. 260:1-260:8. ACM, (2021)Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters., , , , и . CLOUD, стр. 374-384. IEEE, (2022)