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Zhenbo Sun

A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules
MEPipe: Democratizing LLM Training with Memory-Efficient Slice-Level Pipeline Scheduling on Cost-Effective Accelerators
AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning
Chukonu: A Fully-Featured High-Performance Big Data Framework That Integrates a Native Compute Engine into Spark
BaGuaLu: Targeting Brain Scale Pretrained Models with over 37 Million Cores
DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing

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