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BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing.

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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)HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems., , , , , , and . J. Comput. Sci. Technol., 34 (6): 1167-1184 (2019)DCNetBench: Scaleable Data Center Network Benchmarking., , , , , , , , , and . CoRR, (2023)HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems., , , , , and . CoRR, (2017)BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing., , , , , , , and . CoRR, (2018)AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking., , , , , , , , , and 15 other author(s). Bench, volume 11459 of Lecture Notes in Computer Science, page 3-9. Springer, (2018)Identifying Dwarfs Workloads in Big Data Analytics., , , , , , , and . CoRR, (2015)Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process., , , , , , and . Comput. Chem. Eng., (February 2024)Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices., , , , , and . CoRR, (2020)Data Motif-based Proxy Benchmarks for Big Data and AI Workloads., , , , , , , , , and 1 other author(s). IISWC, page 48-58. IEEE Computer Society, (2018)