Context Parallelism for Scalable Million-Token Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Amy, Yang, Jingyi, Ibrahim, Aya, Xie, Xinfeng, Tang, Bangsheng, Sizov, Grigory, Reizenstein, Jeremy, Park, Jongsoo, Huang, Jianyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP
by: Zhao, Yilong, et al.
Published: (2026)
by: Zhao, Yilong, et al.
Published: (2026)
Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding
by: Bhatia, Nidhi, et al.
Published: (2025)
by: Bhatia, Nidhi, et al.
Published: (2025)
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
by: Tang, Xinru, et al.
Published: (2025)
by: Tang, Xinru, et al.
Published: (2025)
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
by: Kang, Xueze, et al.
Published: (2025)
by: Kang, Xueze, et al.
Published: (2025)
Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
by: Luo, Jiajun, et al.
Published: (2024)
by: Luo, Jiajun, et al.
Published: (2024)
BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation
by: Sengupta, Rahul, et al.
Published: (2026)
by: Sengupta, Rahul, 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)
Fides: Secure and Scalable Asynchronous DAG Consensus via Trusted Components
by: Xie, Shaokang, et al.
Published: (2025)
by: Xie, Shaokang, et al.
Published: (2025)
AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism
by: Xu, Wendong, et al.
Published: (2025)
by: Xu, Wendong, et al.
Published: (2025)
Parallel AIG Refactoring via Conflict Breaking
by: Cai, Ye, et al.
Published: (2024)
by: Cai, Ye, et al.
Published: (2024)
Enhancing ASIC Technology Mapping via Parallel Supergate Computing
by: Cai, Ye, et al.
Published: (2024)
by: Cai, Ye, et al.
Published: (2024)
Janus: Disaggregating Attention and Experts for Scalable MoE Inference
by: Zhang, Zhexiang, et al.
Published: (2025)
by: Zhang, Zhexiang, et al.
Published: (2025)
NanoCP: Request-Level Dynamic Context Parallelism for Data-Expert Parallel Decoding
by: Chen, Jiefei, et al.
Published: (2026)
by: Chen, Jiefei, et al.
Published: (2026)
EC2MoE: Adaptive End-Cloud Pipeline Collaboration Enabling Scalable Mixture-of-Experts Inference
by: Yang, Zheming, et al.
Published: (2025)
by: Yang, Zheming, et al.
Published: (2025)
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)
Surviving Partial Rank Failures in Wide Expert-Parallel MoE Inference
by: Sun, Xun, et al.
Published: (2026)
by: Sun, Xun, et al.
Published: (2026)
Argus: Token Aware Distributed LLM Inference Optimization
by: Wu, Panlong, et al.
Published: (2025)
by: Wu, Panlong, et al.
Published: (2025)
Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
by: Chen, Haoyu, et al.
Published: (2025)
by: Chen, Haoyu, et al.
Published: (2025)
HAP: Hybrid Adaptive Parallelism for Efficient Mixture-of-Experts Inference
by: Lin, Haoran, et al.
Published: (2025)
by: Lin, Haoran, et al.
Published: (2025)
Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
by: Barrak, Amine, et al.
Published: (2025)
by: Barrak, Amine, et al.
Published: (2025)
TokenRing: An Efficient Parallelism Framework for Infinite-Context LLMs via Bidirectional Communication
by: Wang, Zongwu, et al.
Published: (2024)
by: Wang, Zongwu, et al.
Published: (2024)
Federated Inference for Heterogeneous LLM Communication and Collaboration
by: Chen, Zihan, et al.
Published: (2026)
by: Chen, Zihan, et al.
Published: (2026)
Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices
by: Li, Xiangyu, et al.
Published: (2025)
by: Li, Xiangyu, et al.
Published: (2025)
SiDP: Memory-Efficient Data Parallelism for Offline LLM Inference
by: Zhao, Alan, et al.
Published: (2026)
by: Zhao, Alan, et al.
Published: (2026)
gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling
by: Guo, Tianyu, et al.
Published: (2025)
by: Guo, Tianyu, et al.
Published: (2025)
Collaborative Inference for Large Models with Task Offloading and Early Exiting
by: Xie, Zuan, et al.
Published: (2024)
by: Xie, Zuan, et al.
Published: (2024)
Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization
by: Wang, Chong, et al.
Published: (2026)
by: Wang, Chong, et al.
Published: (2026)
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs
by: Naman, Pranjal, et al.
Published: (2025)
by: Naman, Pranjal, et al.
Published: (2025)
Ghidorah: Fast LLM Inference on Edge with Speculative Decoding and Hetero-Core Parallelism
by: Wei, Jinhui, et al.
Published: (2025)
by: Wei, Jinhui, et al.
Published: (2025)
Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads
by: Hidayetoglu, Mert, et al.
Published: (2025)
by: Hidayetoglu, Mert, 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)
Kilometer-Level Coupled Modeling Using 40 Million Cores: An Eight-Year Journey of Model Development
by: Duan, Xiaohui, et al.
Published: (2024)
by: Duan, Xiaohui, et al.
Published: (2024)
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)
TD-Pipe: Temporally-Disaggregated Pipeline Parallelism Architecture for High-Throughput LLM Inference
by: Zhang, Hongbin, et al.
Published: (2025)
by: Zhang, Hongbin, et al.
Published: (2025)
APEX: Asynchronous Parallel CPU-GPU Execution for Online LLM Inference on Constrained GPUs
by: Fan, Jiakun, et al.
Published: (2025)
by: Fan, Jiakun, et al.
Published: (2025)
SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
by: Zhou, Qihui, et al.
Published: (2025)
by: Zhou, Qihui, et al.
Published: (2025)
SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs
by: Yang, Jiacheng, et al.
Published: (2026)
by: Yang, Jiacheng, et al.
Published: (2026)
Parallel Data Object Creation: Towards Scalable Metadata Management in High-Performance I/O Library
by: Li, Youjia, et al.
Published: (2025)
by: Li, Youjia, et al.
Published: (2025)
BlockBPE: Parallel BPE Tokenization
by: You, Amos
Published: (2025)
by: You, Amos
Published: (2025)
Similar Items
-
Unleashing Scalable Context Parallelism for Foundation Models Pre-Training via FCP
by: Zhao, Yilong, et al.
Published: (2026) -
Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding
by: Bhatia, Nidhi, et al.
Published: (2025) -
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
by: Tang, Xinru, et al.
Published: (2025) -
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
by: Kang, Xueze, et al.
Published: (2025) -
Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
by: Luo, Jiajun, et al.
Published: (2024)