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SAIBench: A Structural Interpretation of AI for Science Through Benchmarks., and . CoRR, (2023)Workshop 7: HPBDC High-Performance Big Data and Cloud Computing., and . IPDPS Workshops, page 385. IEEE, (2020)Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers., , , , , , and . IEEE Trans. Parallel Distributed Syst., 30 (12): 2879-2895 (2019)Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields., , , , , and . Bench, volume 14521 of Lecture Notes in Computer Science, page 38-52. Springer, (2023)Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks., , , and . IJCNN, page 1-8. IEEE, (2021)BigDataBench: A big data benchmark suite from internet services., , , , , , , , , and 5 other author(s). HPCA, page 488-499. IEEE Computer Society, (2014)Decreasing log data of multi-tier services for effective request tracing, , and . CoRR, (2010)Data motifs: a lens towards fully understanding big data and AI workloads., , , , , , , , , and 2 other author(s). PACT, page 2:1-2:14. ACM, (2018)Cymbalo: An Efficient Graph Processing Framework for Machine Learning., , and . ISPA/IUCC/BDCloud/SocialCom/SustainCom, page 572-579. IEEE, (2018)AI-oriented Workload Allocation for Cloud-Edge Computing., , , , and . CCGRID, page 555-564. IEEE, (2021)