Copertina

Optimising Virtual Resource Mapping in Multi-Level NUMA Disaggregated Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lakew, Ewnetu Bayuh, Svärd, Petter, Elmroth, Erik, Tordsson, Johan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Distributed, Parallel, and Cluster Computing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A HPC Co-Scheduler with Reinforcement Learning
di: Souza, Abel, et al.
Pubblicazione: (2024)

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing
di: Nguyen, Chanh, et al.
Pubblicazione: (2025)

Workload Buoyancy: Keeping Apps Afloat by Identifying Shared Resource Bottlenecks
di: Larsson, Oliver, et al.
Pubblicazione: (2026)

LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
di: Seo, Eunil, et al.
Pubblicazione: (2025)

ASA -- The Adaptive Scheduling Algorithm
di: Souza, Abel, et al.
Pubblicazione: (2024)

Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control
di: Nguyen, Chanh, et al.
Pubblicazione: (2025)

Software Resource Disaggregation for HPC with Serverless Computing
di: Copik, Marcin, et al.
Pubblicazione: (2024)

Speculative Policy Orchestration: A Latency-Resilient Framework for Cloud-Robotic Manipulation
di: Nguyen, Chanh, et al.
Pubblicazione: (2026)

Artifact Evaluation for Distributed Systems: Current Practices and Beyond
di: Sedghpour, Mohammad Reza Saleh, et al.
Pubblicazione: (2024)

Lotus: Optimizing Disaggregated Transactions with Disaggregated Locks
di: Hu, Zhisheng, et al.
Pubblicazione: (2025)

RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training
di: Wu, Tianyuan, et al.
Pubblicazione: (2025)

DOLMA: A Data Object Level Memory Disaggregation Framework for HPC Applications
di: Zheng, Haoyu, et al.
Pubblicazione: (2025)

Disaggregated Prefill and Decoding Inference System for Large Language Model Serving on Multi-Vendor GPUs
di: Chen, Xing, et al.
Pubblicazione: (2025)

Trust-Aware Routing for Distributed Generative AI Inference at the Edge
di: Nguyen, Chanh, et al.
Pubblicazione: (2026)

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

Proceedings of 3rd Workshop on Heterogeneous Composable and Disaggregated Systems
di: Pinto, Christian, et al.
Pubblicazione: (2024)

ScalePool: Hybrid XLink-CXL Fabric for Composable Resource Disaggregation in Unified Scale-up Domains
di: Woo, Hyein, et al.
Pubblicazione: (2025)

Hardware-Level QoS Enforcement Features: Technologies, Use Cases, and Research Challenges
di: Larsson, Oliver, et al.
Pubblicazione: (2025)

InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models
di: Chen, Hongyu, et al.
Pubblicazione: (2026)

Revealing the Challenges of Attention-FFN Disaggregation for Modern MoE Models and Hardware Systems
di: Liu, Guowei, et al.
Pubblicazione: (2026)

From Attention to Disaggregation: Tracing the Evolution of LLM Inference
di: Kumar, Madabattula Rajesh, et al.
Pubblicazione: (2025)

DRackSim: Simulator for Rack-scale Memory Disaggregation
di: Puri, Amit, et al.
Pubblicazione: (2023)

Towards Disaggregation-Native Data Streaming between Devices
di: Asmussen, Nils, et al.
Pubblicazione: (2024)

SWARM: Replicating Shared Disaggregated-Memory Data in No Time
di: Murat, Antoine, et al.
Pubblicazione: (2024)

Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
di: Zhao, Lingxiao, et al.
Pubblicazione: (2025)

DecLock: A Case of Decoupled Locking for Disaggregated Memory
di: Zhang, Hanze, et al.
Pubblicazione: (2025)

Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture
di: Wu, Yu, et al.
Pubblicazione: (2025)

Janus: Disaggregating Attention and Experts for Scalable MoE Inference
di: Zhang, Zhexiang, et al.
Pubblicazione: (2025)

SmartPQ: An Adaptive Concurrent Priority Queue for NUMA Architectures
di: Giannoula, Christina, et al.
Pubblicazione: (2024)

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

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
di: Jiang, Youhe, et al.
Pubblicazione: (2025)

INDIGO: Page Migration for Hardware Memory Disaggregation Across a Network
di: Patke, Archit, et al.
Pubblicazione: (2025)

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

Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads
di: Hu, Cunchen, et al.
Pubblicazione: (2024)

PULSE: Accelerating Distributed Pointer-Traversals on Disaggregated Memory (Extended Version)
di: Tang, Yupeng, et al.
Pubblicazione: (2023)

Mao: Machine learning approach for NUMA optimization in Warehouse Scale Computers
di: Liu, Yueji, et al.
Pubblicazione: (2024)

An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems
di: Shilpika, Shilpika, et al.
Pubblicazione: (2025)

TokenScale: Timely and Accurate Autoscaling for Disaggregated LLM Serving with Token Velocity
di: Lai, Ruiqi, et al.
Pubblicazione: (2025)

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

HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving
di: Dong, Xianzhe, et al.
Pubblicazione: (2025)