赞成你
发表于 2025-3-25 06:58:30
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refine
发表于 2025-3-25 09:21:52
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insurgent
发表于 2025-3-25 15:43:02
Resource Heterogeneity and Elasticity,ve made it easier than ever to access computing resources. For example, a public cloud such as Amazon EC2 allows users to acquire a cluster on demand and pay only for its actual usage. There is a blossoming ecosystem of tools, libraries, and platforms for ML in the cloud and cluster computing settin
Torrid
发表于 2025-3-25 18:17:50
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Wallow
发表于 2025-3-25 22:33:09
Conclusions,ed systems, high-performance computing, programming languages, and more. Motivated by (1) data-driven applications, (2) data-intensive workload characteristics, and (3) data systems support for ML, we took a data-centric view and reviewed approaches for integrating ML in data systems as well as data
insightful
发表于 2025-3-26 03:35:57
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AER
发表于 2025-3-26 06:17:27
Execution Strategies, discuss interesting runtime techniques, including special runtime optimizers. Finally, in the context of deep learning, there is a trend toward exploiting accelerators such as GPUs, FPGAs, and custom ASICs for training and scoring, which is another specific hybrid execution strategy.
FLIT
发表于 2025-3-26 10:05:32
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雪白
发表于 2025-3-26 14:37:47
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defendant
发表于 2025-3-26 20:05:48
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