Copertina

Survey of Disaggregated Memory: Cross-layer Technique Insights for Next-Generation Datacenters

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Jing, Li, Chao, Wang, Taolei, Guo, Jinyang, Yang, Hanzhang, Zhuansun, Yiming, Guo, Minyi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Distributed, Parallel, and Cluster Computing Hardware Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Analyzing a Two-Tier Disaggregated Memory Protection Scheme Based on Memory Replication
di: Volos, Haris, et al.
Pubblicazione: (2025)

FengHuang: Next-Generation Memory Orchestration for AI Inferencing
di: Li, Jiamin, et al.
Pubblicazione: (2025)

Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
di: Chu, Xiaoyu, et al.
Pubblicazione: (2024)

CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories
di: Shi, Man, et al.
Pubblicazione: (2024)

The Dawn of Disaggregation and the Coherence Conundrum: A Call for Federated Coherence
di: Hong, Jaewan, et al.
Pubblicazione: (2025)

DUET: Disaggregated Hybrid Mamba-Transformer LLMs with Prefill and Decode-Specific Packages
di: Kanani, Alish, et al.
Pubblicazione: (2026)

FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems
di: Wang, Tinglue, et al.
Pubblicazione: (2025)

GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
di: Shi, Tianyao, et al.
Pubblicazione: (2024)

Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
di: Zhang, Chen, et al.
Pubblicazione: (2026)

MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
di: Zhou, Zhuoshan, et al.
Pubblicazione: (2026)

Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
di: Zhang, Qijun, et al.
Pubblicazione: (2026)

Power Stabilization for AI Training Datacenters
di: Choukse, Esha, et al.
Pubblicazione: (2025)

HgPCN: A Heterogeneous Architecture for E2E Embedded Point Cloud Inference
di: Gao, Yiming, et al.
Pubblicazione: (2025)

PAM: Processing Across Memory Hierarchy for Efficient KV-centric LLM Serving System
di: Liu, Lian, et al.
Pubblicazione: (2026)

Memory-Centric Computing: Solving Computing's Memory Problem
di: Mutlu, Onur, et al.
Pubblicazione: (2025)

Rearchitecting Datacenter Lifecycle for AI: A TCO-Driven Framework
di: Stojkovic, Jovan, et al.
Pubblicazione: (2025)

TeraPool: A Physical Design Aware, 1024 RISC-V Cores Shared-L1-Memory Scaled-up Cluster Design with High Bandwidth Main Memory Link
di: Zhang, Yichao, et al.
Pubblicazione: (2026)

A Survey of Real-time Scheduling on Accelerator-based Heterogeneous Architecture for Time Critical Applications
di: Zou, An, et al.
Pubblicazione: (2025)

A Modern Primer on Processing in Memory
di: Mutlu, Onur, et al.
Pubblicazione: (2020)

TeraPool-SDR: An 1.89TOPS 1024 RV-Cores 4MiB Shared-L1 Cluster for Next-Generation Open-Source Software-Defined Radios
di: Zhang, Yichao, et al.
Pubblicazione: (2024)

Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design
di: Srimani, Tathagata, et al.
Pubblicazione: (2024)

PIUMA: Programmable Integrated Unified Memory Architecture
di: Aananthakrishnan, Sriram, et al.
Pubblicazione: (2020)

SwarmIO: Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems
di: Kim, Hyeseong, et al.
Pubblicazione: (2026)

Accelerating Triangle Counting with Real Processing-in-Memory Systems
di: Asquini, Lorenzo, et al.
Pubblicazione: (2025)

Balanced Data Placement for GEMV Acceleration with Processing-In-Memory
di: Ibrahim, Mohamed Assem, et al.
Pubblicazione: (2024)

Efficient Architecture for RISC-V Vector Memory Access
di: Guan, Hongyi, et al.
Pubblicazione: (2025)

Memory-Centric Computing: Recent Advances in Processing-in-DRAM
di: Mutlu, Onur, et al.
Pubblicazione: (2024)

Enhancing Regression Models for Complex Systems Using Evolutionary Techniques for Feature Engineering
di: Arroba, Patricia, et al.
Pubblicazione: (2024)

Handling of Memory Page Faults during Virtual-Address RDMA
di: Psistakis, Antonis
Pubblicazione: (2025)

Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
di: Majeed, Ashiyana Abdul, et al.
Pubblicazione: (2025)

Pooling Engram Conditional Memory in Large Language Models using CXL
di: Ma, Ruiyang, et al.
Pubblicazione: (2026)

New Tools, Programming Models, and System Support for Processing-in-Memory Architectures
di: Oliveira, Geraldo F.
Pubblicazione: (2025)

BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
di: Pan, Lunshuai, et al.
Pubblicazione: (2024)

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
di: Qin, Ruoyu, et al.
Pubblicazione: (2024)

Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving
di: Ding, Jianru, et al.
Pubblicazione: (2026)

SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference
di: Zhang, Hengrui, et al.
Pubblicazione: (2025)

Efficient MoE Serving in the Memory-Bound Regime: Balance Activated Experts, Not Tokens
di: Yu, Yanpeng, et al.
Pubblicazione: (2025)

SpeedMalloc: Improving Multi-threaded Applications via a Lightweight Core for Memory Allocation
di: Li, Ruihao, et al.
Pubblicazione: (2025)

DeepStack: Scalable and Accurate Design Space Exploration for Distributed 3D-Stacked AI Accelerators
di: Mo, Zhiwen, et al.
Pubblicazione: (2026)

FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
di: Singhania, Varsha, et al.
Pubblicazione: (2024)