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cs.DC2026
LiveR: Fine-Grained Elasticity via Live Reconfiguration for Model Training
Haoyuan Liu, Kairui Zhou, Shuyao Qi +4
To reduce user costs and maximize cluster utilization, large model training increasingly leverages volatile but inexpensive GPU capacity, such as spot instances and reclaimable res…
cs.DC2026
DynaFlow: Transparent and Flexible Intra-Device Parallelism via Programmable Operator Scheduling
Yi Pan, Yile Gu, Jinbin Luo +7
Intra-device parallelism addresses resource under-utilization in ML inference and training by overlapping the execution of operators with different resource usage. However, its wid…