Cover Image

Fast State Restoration in LLM Serving with HCache

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Shiwei, Chen, Youmin, Shu, Jiwu
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CacheFlow: Efficient LLM Serving with 3D-Parallel KV Cache Restoration
by: Nian, Sean, et al.
Published: (2026)

Efficient Training on Multiple Consumer GPUs with RoundPipe
by: Luo, Yibin, et al.
Published: (2026)

DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving
by: Ruan, Chaoyi, et al.
Published: (2025)

Jenga: Effective Memory Management for Serving LLM with Heterogeneity
by: Zhang, Chen, et al.
Published: (2025)

DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
by: Strati, Foteini, et al.
Published: (2024)

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
by: Hu, Cunchen, et al.
Published: (2024)

GoodServe: Towards High-Goodput Serving of Agentic LLM Inferences over Heterogeneous Resources
by: Du, Boxiao, et al.
Published: (2026)

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
by: Duan, Jiangfei, et al.
Published: (2024)

EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration
by: Du, Jiangsu, et al.
Published: (2025)

WWW.Serve: Interconnecting Global LLM Services through Decentralization
by: Wang, Huanyu, et al.
Published: (2026)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference
by: Li, Suyi, et al.
Published: (2024)

AlignedServe: Orchestrating Prefix-aware Batching to Build a High-throughput and Computing-efficient LLM Serving System
by: Bai, Fengyao, et al.
Published: (2026)

EconoServe: Maximizing Multi-Resource Utilization with SLO Guarantees in LLM Serving
by: Shen, Haiying, et al.
Published: (2024)

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
by: Jiang, Youhe, et al.
Published: (2025)

Predictable LLM Serving on GPU Clusters
by: Darzi, Erfan, et al.
Published: (2025)

HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds
by: Lou, Chiheng, et al.
Published: (2025)

SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
by: Zhou, Qihui, et al.
Published: (2025)

Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling
by: Wu, Jingfeng, et al.
Published: (2025)

Boosting LLM Serving through Spatial-Temporal GPU Resource Sharing
by: Lin, Zejia, et al.
Published: (2025)

CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands
by: Wang, Weiye, et al.
Published: (2026)

BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure
by: He, Yiyuan, et al.
Published: (2025)

Cloud Native System for LLM Inference Serving
by: Xu, Minxian, et al.
Published: (2025)

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025)

vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models
by: Yin, Peiqi, et al.
Published: (2026)

gLLM: Global Balanced Pipeline Parallelism System for Distributed LLM Serving with Token Throttling
by: Guo, Tianyu, et al.
Published: (2025)

eLLM: Elastic Memory Management Framework for Efficient LLM Serving
by: Xu, Jiale, et al.
Published: (2025)

A Predictive and Synergistic Two-Layer Scheduling Framework for LLM Serving
by: Zhang, Yue, et al.
Published: (2025)

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving
by: Chen, Wenyan, et al.
Published: (2026)

S-HPLB: Efficient LLM Attention Serving via Sparsity-Aware Head Parallelism Load Balance
by: Liu, Di, et al.
Published: (2026)

Prefill-Decode Aggregation or Disaggregation? Unifying Both for Goodput-Optimized LLM Serving
by: Wang, Chao, et al.
Published: (2025)

FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs
by: He, Xuan, et al.
Published: (2025)

FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework
by: Zhu, Jianian, et al.
Published: (2025)

Serving Hybrid LLM Loads with SLO Guarantees Using CPU-GPU Attention Piggybacking
by: Mo, Zizhao, et al.
Published: (2026)

OOCO: Latency-disaggregated Architecture for Online-Offline Co-locate LLM Serving
by: Wu, Siyu, et al.
Published: (2025)

Aladdin: Joint Placement and Scaling for SLO-Aware LLM Serving
by: Nie, Chengyi, et al.
Published: (2024)

UELLM: A Unified and Efficient Approach for LLM Inference Serving
by: He, Yiyuan, et al.
Published: (2024)

Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism
by: Srivatsa, Vikranth, et al.
Published: (2026)

Efficient Multi-round LLM Inference over Disaggregated Serving
by: He, Wenhao, et al.
Published: (2026)

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
by: Jiang, Youhe, et al.
Published: (2025)

Past-Future Scheduler for LLM Serving under SLA Guarantees
by: Gong, Ruihao, et al.
Published: (2025)