ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Zedong, Cheng, Shenggan, Tan, Guangming, You, Yang, Tao, Dingwen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism
by: Zhang, Geng, et al.
Published: (2025)
by: Zhang, Geng, et al.
Published: (2025)
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
by: Wu, Bingyang, et al.
Published: (2024)
by: Wu, Bingyang, et al.
Published: (2024)
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training
by: Wang, Yuanqing, et al.
Published: (2026)
by: Wang, Yuanqing, et al.
Published: (2026)
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location
by: Sun, Ting, et al.
Published: (2025)
by: Sun, Ting, et al.
Published: (2025)
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models
by: Choi, Yujeong, et al.
Published: (2024)
by: Choi, Yujeong, et al.
Published: (2024)
TokenLake: A Unified Segment-level Prefix Cache Pool for Fine-grained Elastic Long-Context LLM Serving
by: Wu, Bingyang, et al.
Published: (2025)
by: Wu, Bingyang, et al.
Published: (2025)
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
by: Zhong, Yinmin, et al.
Published: (2025)
by: Zhong, Yinmin, et al.
Published: (2025)
Lazarus: Resilient and Elastic Training of Mixture-of-Experts Models
by: Wu, Yongji, et al.
Published: (2024)
by: Wu, Yongji, et al.
Published: (2024)
AutoChunk: Automated Activation Chunk for Memory-Efficient Long Sequence Inference
by: Zhao, Xuanlei, et al.
Published: (2024)
by: Zhao, Xuanlei, et al.
Published: (2024)
Aryl: An Elastic Cluster Scheduler for Deep Learning
by: Li, Jiamin, et al.
Published: (2022)
by: Li, Jiamin, et al.
Published: (2022)
DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving
by: Ruan, Chaoyi, et al.
Published: (2025)
by: Ruan, Chaoyi, et al.
Published: (2025)
Cornfigurator: Automated Planning for Any-to-Any Multimodal Model Serving
by: Ma, Jeff J., et al.
Published: (2025)
by: Ma, Jeff J., et al.
Published: (2025)
eLLM: Elastic Memory Management Framework for Efficient LLM Serving
by: Xu, Jiale, et al.
Published: (2025)
by: Xu, Jiale, et al.
Published: (2025)
MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
by: Hu, Cunchen, et al.
Published: (2024)
by: Hu, Cunchen, et al.
Published: (2024)
TetriServe: Efficient DiT Serving for Heterogeneous Image Generation
by: Lu, Runyu, et al.
Published: (2025)
by: Lu, Runyu, et al.
Published: (2025)
Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models
by: Chung, Jae-Won, et al.
Published: (2026)
by: Chung, Jae-Won, et al.
Published: (2026)
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism
by: Zhu, Ruidong, et al.
Published: (2025)
by: Zhu, Ruidong, 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)
Enabling Elastic Model Serving with MultiWorld
by: Lee, Myungjin, et al.
Published: (2024)
by: Lee, Myungjin, et al.
Published: (2024)
PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving
by: Bai, Xu, et al.
Published: (2026)
by: Bai, Xu, et al.
Published: (2026)
Heterogeneous Parallelism for Multimodal Large Language Model Training
by: Karnati, Yashaswi, et al.
Published: (2026)
by: Karnati, Yashaswi, et al.
Published: (2026)
SLOs-Serve: Optimized Serving of Multi-SLO LLMs
by: Chen, Siyuan, et al.
Published: (2025)
by: Chen, Siyuan, et al.
Published: (2025)
AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, et al.
Published: (2024)
DeltaZip: Efficient Serving of Multiple Full-Model-Tuned LLMs
by: Yao, Xiaozhe, et al.
Published: (2023)
by: Yao, Xiaozhe, et al.
Published: (2023)
MorphServe: Efficient and Workload-Aware LLM Serving via Runtime Quantized Layer Swapping and KV Cache Resizing
by: Su, Zhaoyuan, et al.
Published: (2025)
by: Su, Zhaoyuan, et al.
Published: (2025)
PolyServe: Efficient Multi-SLO Serving at Scale
by: Zhu, Kan, et al.
Published: (2025)
by: Zhu, Kan, et al.
Published: (2025)
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)
QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration
by: Imani, HamidReza, et al.
Published: (2025)
by: Imani, HamidReza, et al.
Published: (2025)
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach
by: Fudala, Timo, et al.
Published: (2025)
by: Fudala, Timo, et al.
Published: (2025)
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
by: Jia, Jinda, et al.
Published: (2024)
by: Jia, Jinda, et al.
Published: (2024)
Dilu: Enabling GPU Resourcing-on-Demand for Serverless DL Serving via Introspective Elasticity
by: Lv, Cunchi, et al.
Published: (2025)
by: Lv, Cunchi, et al.
Published: (2025)
OTAS: An Elastic Transformer Serving System via Token Adaptation
by: Chen, Jinyu, et al.
Published: (2024)
by: Chen, Jinyu, et al.
Published: (2024)
ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL
by: Gao, Wei, et al.
Published: (2026)
by: Gao, Wei, et al.
Published: (2026)
Collaborative Speculative Inference for Efficient LLM Inference Serving
by: Gao, Luyao, et al.
Published: (2025)
by: Gao, Luyao, 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)
Preble: Efficient Distributed Prompt Scheduling for LLM Serving
by: Srivatsa, Vikranth, et al.
Published: (2024)
by: Srivatsa, Vikranth, et al.
Published: (2024)
ElasWave: An Elastic-Native System for Scalable Hybrid-Parallel Training
by: Kang, Xueze, et al.
Published: (2025)
by: Kang, Xueze, et al.
Published: (2025)
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving
by: Xu, Jiale, et al.
Published: (2024)
by: Xu, Jiale, et al.
Published: (2024)
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
by: Yuan, Liangqi, et al.
Published: (2024)
by: Yuan, Liangqi, et al.
Published: (2024)
Similar Items
-
HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism
by: Zhang, Geng, et al.
Published: (2025) -
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
by: Wu, Bingyang, et al.
Published: (2024) -
DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
by: Zhao, Xuanlei, et al.
Published: (2024) -
DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training
by: Wang, Yuanqing, et al.
Published: (2026) -
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location
by: Sun, Ting, et al.
Published: (2025)