Cover Image

More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Li, Fu, Zhe, Shi, Boqing, Li, Xiang, Lai, Rujin, Yang, Chenyang, Zhou, Ao, Ma, Xiao, Wang, Shangguang, Xu, Mengwei
Format:	Preprint
Published:	2022
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

HeRo: Adaptive Orchestration of Agentic RAG on Heterogeneous Mobile SoC
by: Li, Maoliang, et al.
Published: (2026)

Multi-DNN Inference of Sparse Models on Edge SoCs
by: Luo, Jiawei, et al.
Published: (2026)

MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs
by: Russo, Enrico, et al.
Published: (2026)

Are Bus-Mounted Edge Servers Feasible?
by: Li, Xuezhi, et al.
Published: (2025)

Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC
by: Wei, Xinming, et al.
Published: (2025)

Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference
by: Chen, Le, et al.
Published: (2025)

XDMA: A Distributed, Extensible DMA Architecture for Layout-Flexible Data Movements in Heterogeneous Multi-Accelerator SoCs
by: Kong, Fanchen, et al.
Published: (2025)

A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications
by: Garofalo, Angelo, et al.
Published: (2025)

Flexible Vector Integration in Embedded RISC-V SoCs for End to End CNN Inference Acceleration
by: Lyalikov, Dmitri
Published: (2025)

Strategic Server Deployment under Uncertainty in Mobile Edge Computing
by: Tran, Duc A., et al.
Published: (2025)

Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism
by: Li, Shengwei, et al.
Published: (2023)

Mobile Edge Computing
by: Ahmed, Sohaib, et al.
Published: (2024)

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
by: Zhang, Zeling, et al.
Published: (2024)

Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation
by: Li, Senyao, et al.
Published: (2026)

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices
by: Shen, Tao, et al.
Published: (2025)

SoK: Consensus for Fair Message Ordering
by: Li, Zhuolun, et al.
Published: (2024)

Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks
by: Qi, Houyi, et al.
Published: (2023)

TailBench++: Flexible Multi-Client, Multi-Server Benchmarking for Latency-Critical Workloads
by: Li, Zhilin, et al.
Published: (2025)

A Survey of Distributed Graph Algorithms on Massive Graphs
by: Meng, Lingkai, et al.
Published: (2024)

Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)

Delay-Aware Multi-Stage Edge Server Upgrade with Budget Constraint
by: Wihidayat, Endar Suprih, et al.
Published: (2025)

Experimental Analysis of Server-Side Caching for Web Performance
by: Umar, Mohammad, et al.
Published: (2026)

SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators
by: Ji, Shixin, et al.
Published: (2024)

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
by: Ding, Chuntao, et al.
Published: (2024)

Analysis of Server Throughput For Managed Big Data Analytics Frameworks
by: Anagnostakis, Emmanouil, et al.
Published: (2025)

DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services
by: Sun, Ting, et al.
Published: (2025)

Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams
by: Guan, Jinglong, et al.
Published: (2023)

Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models
by: Wang, Wei, et al.
Published: (2024)

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
by: Gao, Chuanchao, et al.
Published: (2025)

Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
by: Qiu, Houming, et al.
Published: (2025)

PipeMax: Enhancing Offline LLM Inference on Commodity GPU Servers
by: Zhang, Hongbin, et al.
Published: (2026)

Experiences with Model Context Protocol Servers for Science and High Performance Computing
by: Pan, Haochen, et al.
Published: (2025)

TS-EoH: An Edge Server Task Scheduling Algorithm Based on Evolution of Heuristic
by: Yatong, Wang, et al.
Published: (2024)

FEDQ-Trust: Efficient Data-Driven Trust Prediction for Mobile Edge-Based IoT Systems
by: Bai, Jiahui, et al.
Published: (2024)

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
by: Tang, Lujie, et al.
Published: (2024)

EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
by: Cao, Jiahe, et al.
Published: (2026)

SoK: DAG-based Consensus Protocols
by: Raikwar, Mayank, et al.
Published: (2024)

GenAI at the Edge: Comprehensive Survey on Empowering Edge Devices
by: Navardi, Mozhgan, et al.
Published: (2025)

Cloud-Enabled Virtual Prototypes
by: Kraus, Tim, et al.
Published: (2025)

All-to-All Communication with Mobile Edge Adversary: Almost Linearly More Faults, For Free
by: Fischer, Orr, et al.
Published: (2025)