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Prediction and Predictability for Search Query Acceleration., , , , and . TWEB, 10 (3): 19:1-19:28 (2016)Workload analysis and caching strategies for search advertising systems., , , , and . SoCC, page 170-180. ACM, (2017)G-SPARQL: a hybrid engine for querying large attributed graphs., , and . CIKM, page 335-344. ACM, (2012)ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers., , , , , and . NeurIPS, (2022)Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping., and . NeurIPS, (2020)DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing., , , , , , and . AAAI, page 18490-18498. AAAI Press, (2024)Zeta: scheduling interactive services with partial execution., , , and . SoCC, page 12. ACM, (2012)ZeRO: memory optimizations toward training trillion parameter models., , , and . SC, page 20. IEEE/ACM, (2020)Position Paper: Embracing Heterogeneity - Improving Energy Efficiency for Interactive Services on Heterogeneous Data Center Hardware., and . AI for Data Center Management and Cloud Computing, volume WS-11-08 of AAAI Technical Report, AAAI, (2011)1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed., , , , , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 10118-10129. PMLR, (2021)