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Performance Inconsistency in Large Scale Data Processing Clusters.

, , , , and . ICAC, page 297-302. USENIX Association, (2013)

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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)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)Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping., and . NeurIPS, (2020)ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers., , , , , and . NeurIPS, (2022)Zeta: scheduling interactive services with partial execution., , , and . SoCC, page 12. ACM, (2012)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)ZeRO: memory optimizations toward training trillion parameter models., , , and . SC, page 20. IEEE/ACM, (2020)Measuring and Managing Answer Quality for Online Data-Intensive Services., , , , , and . ICAC, page 167-176. IEEE Computer Society, (2015)BATS: budget-constrained autoscaling for cloud performance optimization., , and . SIGMETRICS, page 563-564. ACM, (2014)Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination., , , and . SIGMOD Conference, page 2539-2554. ACM, (2020)