TimelyFreeze: Adaptive Parameter Freezing Mechanism for Pipeline Parallelism
Fuente:
arXiv
Saved in:
| Main Authors: | Cho, Seonghye, Han, Jaemin, Kim, Hyunjin, Jung, Euisoo, Lee, Jae-Gil |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models
by: Guo, Jihu, et al.
Published: (2025)
by: Guo, Jihu, et al.
Published: (2025)
Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
by: Jung, Hyunji, et al.
Published: (2026)
by: Jung, Hyunji, et al.
Published: (2026)
FreeRide: Harvesting Bubbles in Pipeline Parallelism
by: Zhang, Jiashu, et al.
Published: (2024)
by: Zhang, Jiashu, et al.
Published: (2024)
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)
Zero Bubble Pipeline Parallelism
by: Qi, Penghui, et al.
Published: (2023)
by: Qi, Penghui, et al.
Published: (2023)
OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training
by: Li, Hongpei, et al.
Published: (2025)
by: Li, Hongpei, et al.
Published: (2025)
Accelerating Long-Tail Generation in Synchronous RLHF Training via Adaptive Tensor Parallelism
by: Zhao, Long, et al.
Published: (2026)
by: Zhao, Long, et al.
Published: (2026)
SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models
by: Kim, Han-Byul, et al.
Published: (2025)
by: Kim, Han-Byul, et al.
Published: (2025)
Geometric Freeze-Tag Problem
by: Alipour, Sharareh, et al.
Published: (2024)
by: Alipour, Sharareh, et al.
Published: (2024)
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism
by: Jeon, Byungsoo, et al.
Published: (2024)
by: Jeon, Byungsoo, et al.
Published: (2024)
Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs
by: Chen, Aodong, et al.
Published: (2023)
by: Chen, Aodong, et al.
Published: (2023)
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
by: Wan, Xinyi, et al.
Published: (2025)
by: Wan, Xinyi, et al.
Published: (2025)
Dora: QoE-Aware Hybrid Parallelism for Distributed Edge AI
by: Jin, Jianli, et al.
Published: (2025)
by: Jin, Jianli, et al.
Published: (2025)
Automated Planning for Optimal Data Pipeline Instantiation
by: Amado, Leonardo Rosa, et al.
Published: (2025)
by: Amado, Leonardo Rosa, et al.
Published: (2025)
ResBM: Residual Bottleneck Models for Low-Bandwidth Pipeline Parallelism
by: Aboudib, Alan, et al.
Published: (2026)
by: Aboudib, Alan, et al.
Published: (2026)
Adaptive Fault Tolerance Mechanisms of Large Language Models in Cloud Computing Environments
by: Jin, Yihong, et al.
Published: (2025)
by: Jin, Yihong, et al.
Published: (2025)
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
by: Yang, Haowei, et al.
Published: (2025)
by: Yang, Haowei, et al.
Published: (2025)
BitPipe: Bidirectional Interleaved Pipeline Parallelism for Accelerating Large Models Training
by: Wu, Houming, et al.
Published: (2024)
by: Wu, Houming, et al.
Published: (2024)
Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines
by: Wagenländer, Marcel, et al.
Published: (2026)
by: Wagenländer, Marcel, et al.
Published: (2026)
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
by: Cho, Minsik, et al.
Published: (2024)
by: Cho, Minsik, et al.
Published: (2024)
Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference
by: He, Zifan, et al.
Published: (2026)
by: He, Zifan, et al.
Published: (2026)
Artificial Intelligence for Cost-Aware Resource Prediction in Big Data Pipelines
by: Goyal, Harshit
Published: (2025)
by: Goyal, Harshit
Published: (2025)
DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline
by: Xue, Zhenliang, et al.
Published: (2025)
by: Xue, Zhenliang, et al.
Published: (2025)
FlowSpec: Continuous Pipelined Speculative Decoding for Efficient Distributed LLM Inference
by: Liu, Xing, et al.
Published: (2025)
by: Liu, Xing, et al.
Published: (2025)
WORKSWORLD: A Domain for Integrated Numeric Planning and Scheduling of Distributed Pipelined Workflows
by: Paul, Taylor, et al.
Published: (2026)
by: Paul, Taylor, et al.
Published: (2026)
Rethinking Dynamic Networks and Heterogeneous Computing with Automatic Parallelization
by: Wu, Ruilong, et al.
Published: (2025)
by: Wu, Ruilong, et al.
Published: (2025)
Can Large Language Models Write Parallel Code?
by: Nichols, Daniel, et al.
Published: (2024)
by: Nichols, Daniel, et al.
Published: (2024)
Collaborative Split Federated Learning with Parallel Training and Aggregation
by: Papageorgiou, Yiannis, et al.
Published: (2025)
by: Papageorgiou, Yiannis, et al.
Published: (2025)
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale
by: Cho, Jaehong, et al.
Published: (2024)
by: Cho, Jaehong, et al.
Published: (2024)
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
by: Yebo, Wu, et al.
Published: (2024)
by: Yebo, Wu, et al.
Published: (2024)
Balancing Pipeline Parallelism with Vocabulary Parallelism
by: Yeung, Man Tsung, et al.
Published: (2024)
by: Yeung, Man Tsung, et al.
Published: (2024)
Accelerating LLM Inference with Precomputed Query Storage
by: Park, Jay H., et al.
Published: (2025)
by: Park, Jay H., et al.
Published: (2025)
SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile
by: Zhang, Ruisi, et al.
Published: (2024)
by: Zhang, Ruisi, et al.
Published: (2024)
HPC-Coder: Modeling Parallel Programs using Large Language Models
by: Nichols, Daniel, et al.
Published: (2023)
by: Nichols, Daniel, et al.
Published: (2023)
Para-B&B: Load-Balanced Deterministic Parallelization of Solving MIP
by: Zhang, Jinyu, et al.
Published: (2026)
by: Zhang, Jinyu, et al.
Published: (2026)
TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
by: Wu, Houming, et al.
Published: (2025)
by: Wu, Houming, et al.
Published: (2025)
Piper: Efficient Large-Scale MoE Training via Resource Modeling and Pipelined Hybrid Parallelism
by: Dash, Sajal, et al.
Published: (2026)
by: Dash, Sajal, et al.
Published: (2026)
Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression
by: Sung, Mingyu, et al.
Published: (2025)
by: Sung, Mingyu, et al.
Published: (2025)
Cooperative Cognitive Dynamic System in UAV Swarms: Reconfigurable Mechanism and Framework
by: Jia, Ziye, et al.
Published: (2024)
by: Jia, Ziye, et al.
Published: (2024)
xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
by: Fang, Jiarui, et al.
Published: (2024)
by: Fang, Jiarui, et al.
Published: (2024)
Similar Items
-
AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models
by: Guo, Jihu, et al.
Published: (2025) -
Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
by: Jung, Hyunji, et al.
Published: (2026) -
FreeRide: Harvesting Bubbles in Pipeline Parallelism
by: Zhang, Jiashu, et al.
Published: (2024) -
InfiniPipe: Elastic Pipeline Parallelism for Efficient Variable-Length Long-Context LLM Training
by: Wang, Shiju, et al.
Published: (2025) -
Zero Bubble Pipeline Parallelism
by: Qi, Penghui, et al.
Published: (2023)