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model parallelization

6 papers

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Co-occurring keywords · papers mentioning both

scheduling strategies (1) recurrent neural network (1) deep neural network (1) parameter update (1) end-to-end training (1) inference efficiency (1) data parallelism (1) task scheduling (1) distributed system (1) job completion time (1)

Papers

SpiderFlow: Efficient Topology-Aware Scheduling for LLM Training Across Decentralized GPU Clusters ACL 2026 MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network AAAI 2025 nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training OSDI 2024 The streaming rollout of deep networks - towards fully model-parallel execution NeurIPS 2018 SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization ICML 2017 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014