Understanding Stragglers in Large Model Training Using What-if Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Jinkun, Jiang, Ziheng, Song, Zuquan, Zhao, Sida, Yu, Menghan, Wang, Zhanghan, Wang, Chenyuan, Shi, Zuocheng, Shi, Xiang, Jia, Wei, Liu, Zherui, Wang, Shuguang, Lin, Haibin, Liu, Xin, Panda, Aurojit, Li, Jinyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Verify Distributed Deep Learning Model Implementation Refinement with Iterative Relation Inference
by: Wang, Zhanghan, et al.
Published: (2025)
by: Wang, Zhanghan, et al.
Published: (2025)
Revisiting Speculative Leaderless Protocols for Low-Latency BFT Replication
by: Qian, Daniel, et al.
Published: (2026)
by: Qian, Daniel, et al.
Published: (2026)
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
by: Wu, Tianyuan, et al.
Published: (2025)
by: Wu, Tianyuan, et al.
Published: (2025)
Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference
by: Li, Rongzhi, et al.
Published: (2025)
by: Li, Rongzhi, et al.
Published: (2025)
Stateful Large Language Model Serving with Pensieve
by: Yu, Lingfan, et al.
Published: (2023)
by: Yu, Lingfan, et al.
Published: (2023)
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)
Minder: Faulty Machine Detection for Large-scale Distributed Model Training
by: Deng, Yangtao, et al.
Published: (2024)
by: Deng, Yangtao, et al.
Published: (2024)
FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training
by: Wu, Tianyuan, et al.
Published: (2024)
by: Wu, Tianyuan, et al.
Published: (2024)
Straggler Tolerant and Resilient DL Training on Homogeneous GPUs
by: Zhang, Zeyu, et al.
Published: (2025)
by: Zhang, Zeyu, et al.
Published: (2025)
Robust LLM Training Infrastructure at ByteDance
by: Wan, Borui, et al.
Published: (2025)
by: Wan, Borui, et al.
Published: (2025)
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes
by: Xiao, Youshao, et al.
Published: (2024)
by: Xiao, Youshao, et al.
Published: (2024)
SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
by: Zhang, Ziyi, et al.
Published: (2025)
by: Zhang, Ziyi, et al.
Published: (2025)
CoCoI: Distributed Coded Inference System for Straggler Mitigation
by: Liu, Xing, et al.
Published: (2025)
by: Liu, Xing, et al.
Published: (2025)
Lightweight Federated Learning with Differential Privacy and Straggler Resilience
by: Hong, Shu, et al.
Published: (2024)
by: Hong, Shu, et al.
Published: (2024)
The Dawn of Disaggregation and the Coherence Conundrum: A Call for Federated Coherence
by: Hong, Jaewan, et al.
Published: (2025)
by: Hong, Jaewan, et al.
Published: (2025)
Exploiting Stragglers in Distributed Computing Systems with Task Grouping
by: Adikari, Tharindu, et al.
Published: (2024)
by: Adikari, Tharindu, et al.
Published: (2024)
MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production
by: Xue, Chunyu, et al.
Published: (2026)
by: Xue, Chunyu, et al.
Published: (2026)
dSTAR: Straggler Tolerant and Byzantine Resilient Distributed SGD
by: Yan, Jiahe, et al.
Published: (2024)
by: Yan, Jiahe, et al.
Published: (2024)
Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training
by: Deng, Yangtao, et al.
Published: (2025)
by: Deng, Yangtao, et al.
Published: (2025)
TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives
by: Zheng, Size, et al.
Published: (2025)
by: Zheng, Size, et al.
Published: (2025)
Sparsity-Preserving Encodings for Straggler-Optimal Distributed Matrix Computations at the Edge
by: Das, Anindya Bijoy, et al.
Published: (2024)
by: Das, Anindya Bijoy, et al.
Published: (2024)
FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion
by: Chang, Li-Wen, et al.
Published: (2024)
by: Chang, Li-Wen, et al.
Published: (2024)
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
by: Xiong, Guojun, et al.
Published: (2023)
by: Xiong, Guojun, et al.
Published: (2023)
Optimizing Frequent Checkpointing via Low-Cost Differential for Distributed Training Systems
by: Yao, Chenxuan, et al.
Published: (2025)
by: Yao, Chenxuan, et al.
Published: (2025)
Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
by: Wang, Yujia, et al.
Published: (2025)
by: Wang, Yujia, et al.
Published: (2025)
Efficient AllReduce with Stragglers
by: Devraj, Arjun, et al.
Published: (2025)
by: Devraj, Arjun, et al.
Published: (2025)
Guard: Scalable Straggler Detection and Node Health Management for Large-Scale Training
by: Liu, Guanliang, et al.
Published: (2026)
by: Liu, Guanliang, et al.
Published: (2026)
Lattica: A Decentralized Cross-NAT Communication Framework for Scalable AI Inference and Training
by: Yang, Ween, et al.
Published: (2025)
by: Yang, Ween, et al.
Published: (2025)
Efficient Fault Tolerance for Pipelined Query Engines via Write-ahead Lineage
by: Wang, Ziheng, et al.
Published: (2024)
by: Wang, Ziheng, et al.
Published: (2024)
HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap
by: Lin, Wenxiang, et al.
Published: (2025)
by: Lin, Wenxiang, et al.
Published: (2025)
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
by: He, Guoliang, et al.
Published: (2025)
by: He, Guoliang, et al.
Published: (2025)
HeteroSTA: A CPU-GPU Heterogeneous Static Timing Analysis Engine with Holistic Industrial Design Support
by: Guo, Zizheng, et al.
Published: (2025)
by: Guo, Zizheng, et al.
Published: (2025)
BootSeer: Analyzing and Mitigating Initialization Bottlenecks in Large-Scale LLM Training
by: Li, Rui, et al.
Published: (2025)
by: Li, Rui, et al.
Published: (2025)
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)
Enhancing Memory Efficiency in Large Language Model Training Through Chronos-aware Pipeline Parallelism
by: Lin, Xinyuan, et al.
Published: (2025)
by: Lin, Xinyuan, et al.
Published: (2025)
HARP: Orchestrating Automated Parallel Training on Heterogeneous GPU Clusters
by: Liang, Antian, et al.
Published: (2025)
by: Liang, Antian, et al.
Published: (2025)
Heat: Satellite's meat is GPU's poison
by: Yuan, Zhehu, et al.
Published: (2024)
by: Yuan, Zhehu, et al.
Published: (2024)
Understanding and Reducing Metadata-Driven Host Overheads in Sampling-Based GNN Training
by: Gong, Yidong, et al.
Published: (2026)
by: Gong, Yidong, et al.
Published: (2026)
Stable-MoE: Lyapunov-based Token Routing for Distributed Mixture-of-Experts Training over Edge Networks
by: Shi, Long, et al.
Published: (2025)
by: Shi, Long, et al.
Published: (2025)
General Coded Computing in a Probabilistic Straggler Regime
by: Moradi, Parsa, et al.
Published: (2025)
by: Moradi, Parsa, et al.
Published: (2025)
Similar Items
-
Verify Distributed Deep Learning Model Implementation Refinement with Iterative Relation Inference
by: Wang, Zhanghan, et al.
Published: (2025) -
Revisiting Speculative Leaderless Protocols for Low-Latency BFT Replication
by: Qian, Daniel, et al.
Published: (2026) -
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
by: Wu, Tianyuan, et al.
Published: (2025) -
Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference
by: Li, Rongzhi, et al.
Published: (2025) -
Stateful Large Language Model Serving with Pensieve
by: Yu, Lingfan, et al.
Published: (2023)