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1. 方法A、方法B都用于解决同一个问题融合A+B方法
代表论文A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters;
Hydra: Deadline-Aware and Efficiency-Oriented Scheduling for Deep Learning Jobs on Heterogeneous GPUs
说明A、B方法各自的优点与缺点再提出如何将A+B结合实现更好的效果。
2. 方法A直接用在B领域会存在问题
代表论文MultiRAG: A Knowledge-Guided Framework for Mitigating Hallucination in Multi-Source Retrieval Augmented Generation;
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System
3. 论文A考虑了A因素论文b考虑了B因素联合考虑A+B
代表论文: