Cover Image

AME: An Efficient Heterogeneous Agentic Memory Engine for Smartphones

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xinkui, Ma, Qingyu, Zhang, Yifan, Lou, Hengxuan, Cheng, Guanjie, Deng, Shuiguang, Yin, Jianwei
Format:	Preprint
Published:	2025
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

Next-Gen Computing Systems with Compute Express Link: a Comprehensive Survey
by: Chen, Chen, et al.
Published: (2024)

Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024)

Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
by: Huang, Binbin, et al.
Published: (2024)

BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework
by: Qin, Zhen, et al.
Published: (2022)

Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing
by: Yebo, Wu, et al.
Published: (2024)

HexAGenT: Efficient Agentic LLM Serving via Workflow- and Heterogeneity-Aware Scheduling
by: Peng, You, et al.
Published: (2026)

PeerSync: Accelerating Containerized Service Delivery at the Network Edge
by: Deng, Yinuo, et al.
Published: (2025)

Sutradhara: An Intelligent Orchestrator-Engine Co-design for Tool-based Agentic Inference
by: Biswas, Anish, et al.
Published: (2026)

HeteroSTA: A CPU-GPU Heterogeneous Static Timing Analysis Engine with Holistic Industrial Design Support
by: Guo, Zizheng, et al.
Published: (2025)

BurstEngine: an Efficient Distributed Framework for Training Transformers on Extremely Long Sequences of over 1M Tokens
by: Sun, Ao, et al.
Published: (2025)

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications
by: Du, Kuntai, et al.
Published: (2025)

Memory-Efficient Split Federated Learning for LLM Fine-Tuning on Heterogeneous Mobile Devices
by: Chen, Xiaopei, et al.
Published: (2025)

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
by: Guo, Cong, et al.
Published: (2024)

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

PilotANN: Memory-Bounded GPU Acceleration for Vector Search
by: Gui, Yuntao, et al.
Published: (2025)

SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines
by: Cheng, Ke, et al.
Published: (2024)

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

A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications
by: Chen, Lei, et al.
Published: (2024)

WindGP: Efficient Graph Partitioning on Heterogenous Machines
by: Zeng, Li, et al.
Published: (2024)

ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
by: Yu, Di, et al.
Published: (2025)

SiDP: Memory-Efficient Data Parallelism for Offline LLM Inference
by: Zhao, Alan, et al.
Published: (2026)

RIMMS: Runtime Integrated Memory Management System for Heterogeneous Computing
by: Gener, Serhan, et al.
Published: (2025)

Mapping Large Memory-constrained Workflows onto Heterogeneous Platforms
by: Kulagina, Svetlana, et al.
Published: (2024)

Memory-aware Adaptive Scheduling of Scientific Workflows on Heterogeneous Architectures
by: Kulagina, Svetlana, et al.
Published: (2025)

Bridging Memory Gaps: Scaling Federated Learning for Heterogeneous Clients
by: Wu, Yebo, et al.
Published: (2024)

EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer
by: Chen, Yi, et al.
Published: (2025)

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

MoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2025)

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments
by: He, Yongjun, et al.
Published: (2025)

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

GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads
by: Ye, Fanjiang, et al.
Published: (2026)

Flash-KMeans: Fast and Memory-Efficient Exact K-Means
by: Yang, Shuo, et al.
Published: (2026)

MemFine: Memory-Aware Fine-Grained Scheduling for MoE Training
by: Zhao, Lu, et al.
Published: (2025)

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism
by: Zhang, Zheng, et al.
Published: (2025)

Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
by: Zhang, WenZheng, et al.
Published: (2024)

High-Performance and Power-Efficient Emulation of Matrix Multiplication using INT8 Matrix Engines
by: Uchino, Yuki, et al.
Published: (2025)

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

Graph for Science: From API based Programming to Graph Engine based Programming for HPC
by: Zhang, Yu, et al.
Published: (2023)

Role-Based Fault Tolerance System for LLM RL Post-Training
by: Chen, Zhenqian, et al.
Published: (2025)

DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency
by: Ma, Haoran, et al.
Published: (2024)