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cs.DC2026
ETH: Data-Balanced Heterogeneous Pipeline Parallelism for Training Large Models
Mianjie Yu, Zhongmin Zhao, Zizhao Mo +9
Current heterogeneity-aware training systems for large models balance workloads by assigning unequal numbers of layers across pipeline stages, a strategy aimed at equalizing execut…
cs.DC2023★ 6 cited
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public Cloud
Tianyao Shi, Yingxuan Yang, Yunlong Cheng +3
Multi-tenancy in public clouds may lead to co-location interference on shared resources, which possibly results in performance degradation of cloud applications. Cloud providers wa…