Image de couverture de livre

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pinto, Christian, Li, Dong, Doudali, Thaleia Dimitra, Giannoula, Christina, Ren, Jie
Format:	Preprint
Publié:	2024
Sujets:	Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

TCM-Serve: Modality-aware Scheduling for Multimodal Large Language Model Inference
par: Papaioannou, Konstantinos, et autres
Publié: (2026)

PrefixWall: Mitigating Prefix Caching Side Channels in Shared LLM Systems
par: Pennas, Panagiotis Georgios, et autres
Publié: (2026)

HuntMS: A Framework for Microservice Geo-Distribution for Carbon and Cost Reduction
par: Christofidi, Georgia, et autres
Publié: (2026)

DOLMA: A Data Object Level Memory Disaggregation Framework for HPC Applications
par: Zheng, Haoyu, et autres
Publié: (2025)

SmartPQ: An Adaptive Concurrent Priority Queue for NUMA Architectures
par: Giannoula, Christina, et autres
Publié: (2024)

ScalePool: Hybrid XLink-CXL Fabric for Composable Resource Disaggregation in Unified Scale-up Domains
par: Woo, Hyein, et autres
Publié: (2025)

INDIGO: Page Migration for Hardware Memory Disaggregation Across a Network
par: Patke, Archit, et autres
Publié: (2025)

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
par: Jiang, Youhe, et autres
Publié: (2025)

Lotus: Optimizing Disaggregated Transactions with Disaggregated Locks
par: Hu, Zhisheng, et autres
Publié: (2025)

Proceedings of the 1st International Workshop on Low Carbon Computing (LOCO 2024)
par: Vanderbauwhede, Wim, et autres
Publié: (2026)

Cronus: Efficient LLM inference on Heterogeneous GPU Clusters via Partially Disaggregated Prefill
par: Liu, Yunzhao, et autres
Publié: (2025)

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models
par: Zhang, Zili, et autres
Publié: (2024)

Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture
par: Wu, Yu, et autres
Publié: (2025)

Revealing the Challenges of Attention-FFN Disaggregation for Modern MoE Models and Hardware Systems
par: Liu, Guowei, et autres
Publié: (2026)

Optimising Virtual Resource Mapping in Multi-Level NUMA Disaggregated Systems
par: Lakew, Ewnetu Bayuh, et autres
Publié: (2025)

HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving
par: Dong, Xianzhe, et autres
Publié: (2025)

Proceedings First Workshop on Adaptable Cloud Architectures
par: De Palma, Giuseppe, et autres
Publié: (2025)

Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference
par: Li, Rongzhi, et autres
Publié: (2025)

Software Resource Disaggregation for HPC with Serverless Computing
par: Copik, Marcin, et autres
Publié: (2024)

DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving
par: Ruan, Chaoyi, et autres
Publié: (2025)

Asymmetric Grid Quorum Systems for Heterogeneous Processes
par: Senn, Michael, et autres
Publié: (2025)

Disaggregated Prefill and Decoding Inference System for Large Language Model Serving on Multi-Vendor GPUs
par: Chen, Xing, et autres
Publié: (2025)

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation
par: Hu, Tiancheng, et autres
Publié: (2026)

Towards Disaggregation-Native Data Streaming between Devices
par: Asmussen, Nils, et autres
Publié: (2024)

SWARM: Replicating Shared Disaggregated-Memory Data in No Time
par: Murat, Antoine, et autres
Publié: (2024)

DRackSim: Simulator for Rack-scale Memory Disaggregation
par: Puri, Amit, et autres
Publié: (2023)

From Attention to Disaggregation: Tracing the Evolution of LLM Inference
par: Kumar, Madabattula Rajesh, et autres
Publié: (2025)

Reconfigurable Heterogeneous Quorum Systems
par: Li, Xiao, et autres
Publié: (2023)

Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation
par: Chen, Shaoyuan, et autres
Publié: (2024)

DecLock: A Case of Decoupled Locking for Disaggregated Memory
par: Zhang, Hanze, et autres
Publié: (2025)

Efficient Multi-round LLM Inference over Disaggregated Serving
par: He, Wenhao, et autres
Publié: (2026)

Janus: Disaggregating Attention and Experts for Scalable MoE Inference
par: Zhang, Zhexiang, et autres
Publié: (2025)

TENT: A Declarative Slice Spraying Engine for Performant and Resilient Data Movement in Disaggregated LLM Serving
par: Ren, Feng, et autres
Publié: (2026)

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models
par: Chen, Hongyu, et autres
Publié: (2026)

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads
par: Hu, Cunchen, et autres
Publié: (2024)

Taming Request Imbalance: SLO-Aware Scheduling for Disaggregated LLM Inference
par: Wang, Qipeng
Publié: (2026)

RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training
par: Wu, Tianyuan, et autres
Publié: (2025)

PULSE: Accelerating Distributed Pointer-Traversals on Disaggregated Memory (Extended Version)
par: Tang, Yupeng, et autres
Publié: (2023)

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation
par: Zhong, Yinmin, et autres
Publié: (2025)

Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
par: Chang, Zihan, et autres
Publié: (2024)