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Author

Oliver Sinnen

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#graph neural networks Book Open access Sep 2026

Memory-Aware Joint Optimisation of Partitioning and Scheduling for Pipeline-Parallel Training

OptPipe is presented, a unified framework that jointly optimises partitioning and scheduling for pipeline parallelism and introduces a memory-aware directed acyclic graph (DAG) that captures both task dependencies and the lifetime of intermediate tensors, enabling explicit reasoning about the trade-off between executio...

Ning Wang, A. Raith, Oliver Sinnen · 0 citations
#graph neural networks Book Open access Sep 2026

Memory-Aware Joint Optimisation of Partitioning and Scheduling for Pipeline-Parallel Training

Pipeline parallelism (PP) is widely adopted for distributed training of neural networks, but its efficiency is limited by pipeline bubbles that leave devices idle. A variety of schedules have been proposed to reduce these bubbles, yet most are hand-crafted, rely on idealised timing assumptions as well as rigid structur...

Ning Wang, A. Raith, Oliver Sinnen · 0 citations

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