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- research-articleOctober 2023
tf.data service: A Case for Disaggregating ML Input Data Processing
SoCC '23: Proceedings of the 2023 ACM Symposium on Cloud ComputingPages 358–375https://doi.org/10.1145/3620678.3624666Machine learning (ML) computations commonly execute on expensive specialized hardware, such as GPUs and TPUs, which provide high FLOPs and performance-per-watt. For cost efficiency, it is essential to keep these accelerators highly utilized. This ...