FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yujie, Wang, Shiju, Zhu, Shenhan, Fu, Fangcheng, Liu, Xinyi, Xiao, Xuefeng, Li, Huixia, Li, Jiashi, Wu, Faming, Cui, Bin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training
by: Liu, Xinyi, et al.
Published: (2026)
by: Liu, Xinyi, et al.
Published: (2026)
InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training
by: Wang, Shiju, et al.
Published: (2025)
by: Wang, Shiju, et al.
Published: (2025)
Improving Automatic Parallel Training via Balanced Memory Workload Optimization
by: Wang, Yujie, et al.
Published: (2023)
by: Wang, Yujie, et al.
Published: (2023)
Galvatron: An Automatic Distributed System for Efficient Foundation Model Training
by: Liu, Xinyi, et al.
Published: (2025)
by: Liu, Xinyi, et al.
Published: (2025)
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling
by: Wang, Yujie, et al.
Published: (2024)
by: Wang, Yujie, et al.
Published: (2024)
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
by: Nie, Xiaonan, et al.
Published: (2024)
by: Nie, Xiaonan, et al.
Published: (2024)
HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware
by: Yan, Ran, et al.
Published: (2024)
by: Yan, Ran, et al.
Published: (2024)
FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]
by: Zhang, Runhua, et al.
Published: (2025)
by: Zhang, Runhua, et al.
Published: (2025)
Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination
by: Li, Haoyang, et al.
Published: (2026)
by: Li, Haoyang, et al.
Published: (2026)
Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment
by: Li, Haoyang, et al.
Published: (2024)
by: Li, Haoyang, et al.
Published: (2024)
OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration
by: Jiang, Youhe, et al.
Published: (2026)
by: Jiang, Youhe, et al.
Published: (2026)
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control
by: Wang, Zhigang, et al.
Published: (2024)
by: Wang, Zhigang, et al.
Published: (2024)
LobRA: Multi-tenant Fine-tuning over Heterogeneous Data
by: Lin, Sheng, et al.
Published: (2025)
by: Lin, Sheng, et al.
Published: (2025)
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
by: Jiang, Youhe, et al.
Published: (2025)
by: Jiang, Youhe, et al.
Published: (2025)
OrchMLLM: Orchestrate Multimodal Data with Batch Post-Balancing to Accelerate Multimodal Large Language Model Training
by: Zheng, Yijie, et al.
Published: (2025)
by: Zheng, Yijie, et al.
Published: (2025)
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism
by: Gu, Diandian, et al.
Published: (2024)
by: Gu, Diandian, et al.
Published: (2024)
A Flexible Programmable Pipeline Parallelism Framework for Efficient DNN Training
by: Jiang, Lijuan, et al.
Published: (2025)
by: Jiang, Lijuan, et al.
Published: (2025)
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios
by: Chen, Zekai, et al.
Published: (2024)
by: Chen, Zekai, et al.
Published: (2024)
Efficient Multi-round LLM Inference over Disaggregated Serving
by: He, Wenhao, et al.
Published: (2026)
by: He, Wenhao, et al.
Published: (2026)
StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training
by: Liu, Ziming, et al.
Published: (2024)
by: Liu, Ziming, et al.
Published: (2024)
SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading
by: Chen, Qiaoling, et al.
Published: (2025)
by: Chen, Qiaoling, et al.
Published: (2025)
BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization
by: Jiang, Youhe, et al.
Published: (2026)
by: Jiang, Youhe, et al.
Published: (2026)
DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization
by: Tang, Zhenheng, et al.
Published: (2025)
by: Tang, Zhenheng, et al.
Published: (2025)
FlexKV: Flexible Index Offloading for Memory-Disaggregated Key-Value Store
by: Hu, Zhisheng, et al.
Published: (2025)
by: Hu, Zhisheng, et al.
Published: (2025)
AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism
by: Gupta, Ahan, et al.
Published: (2026)
by: Gupta, Ahan, et al.
Published: (2026)
Accelerating Sparse Matrix-Matrix Multiplication on GPUs with Processing Near HBMs
by: Li, Shiju, et al.
Published: (2025)
by: Li, Shiju, et al.
Published: (2025)
Hyperion: Hierarchical Scheduling for Parallel LLM Acceleration in Multi-tier Networks
by: Ma, Mulei, et al.
Published: (2025)
by: Ma, Mulei, et al.
Published: (2025)
CoCoDiff: Optimizing Collective Communications for Distributed Diffusion Transformer Inference Under Ulysses Sequence Parallelism
by: Ma, Bin, et al.
Published: (2026)
by: Ma, Bin, et al.
Published: (2026)
TASP: Topology-aware Sequence Parallelism
by: Wang, Yida, et al.
Published: (2025)
by: Wang, Yida, et al.
Published: (2025)
Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics
by: Jiang, Youhe, et al.
Published: (2026)
by: Jiang, Youhe, et al.
Published: (2026)
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
by: Liang, Antian, et al.
Published: (2025)
by: Liang, Antian, et al.
Published: (2025)
Balancing Pipeline Parallelism with Vocabulary Parallelism
by: Yeung, Man Tsung, et al.
Published: (2024)
by: Yeung, Man Tsung, et al.
Published: (2024)
FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
by: Wang, Tinglue, et al.
Published: (2025)
by: Wang, Tinglue, et al.
Published: (2025)
JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials
by: Wang, Hongyu, et al.
Published: (2026)
by: Wang, Hongyu, et al.
Published: (2026)
Accelerating Distributed MoE Training and Inference with Lina
by: Li, Jiamin, et al.
Published: (2022)
by: Li, Jiamin, et al.
Published: (2022)
TridentServe: A Stage-level Serving System for Diffusion Pipelines
by: Xia, Yifei, et al.
Published: (2025)
by: Xia, Yifei, et al.
Published: (2025)
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
by: Jiang, Youhe, et al.
Published: (2025)
by: Jiang, Youhe, et al.
Published: (2025)
Hecate: Unlocking Efficient Sparse Model Training via Fully Sharded Sparse Data Parallelism
by: Qing, Yuhao, et al.
Published: (2025)
by: Qing, Yuhao, et al.
Published: (2025)
Similar Items
-
LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training
by: Liu, Xinyi, et al.
Published: (2026) -
InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training
by: Wang, Shiju, et al.
Published: (2025) -
Improving Automatic Parallel Training via Balanced Memory Workload Optimization
by: Wang, Yujie, et al.
Published: (2023) -
Galvatron: An Automatic Distributed System for Efficient Foundation Model Training
by: Liu, Xinyi, et al.
Published: (2025) -
Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
by: Li, Haoyang, et al.
Published: (2024)