Saved in:
| Main Authors: | Zhou, Ao, Yang, Jianlei, Qiao, Tong, Qi, Yingjie, Yang, Zhi, Zhao, Weisheng, Hu, Chunming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.11856 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
ACE-GNN: Adaptive GNN Co-Inference with System-Aware Scheduling in Dynamic Edge Environments
by: Zhou, Ao, et al.
Published: (2025)
by: Zhou, Ao, et al.
Published: (2025)
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
by: Qiao, Tong, et al.
Published: (2024)
by: Qiao, Tong, et al.
Published: (2024)
Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
by: Qiao, Tong, et al.
Published: (2025)
by: Qiao, Tong, et al.
Published: (2025)
Finesse: An Agile Design Framework for Pairing-based Cryptography via Software/Hardware Co-Design
by: Pan, Tianwei, et al.
Published: (2025)
by: Pan, Tianwei, et al.
Published: (2025)
Efficient SRAM-PIM Co-design by Joint Exploration of Value-Level and Bit-Level Sparsity
by: Duan, Cenlin, et al.
Published: (2025)
by: Duan, Cenlin, et al.
Published: (2025)
HPIM: Heterogeneous Processing-In-Memory-based Accelerator for Large Language Models Inference
by: Duan, Cenlin, et al.
Published: (2025)
by: Duan, Cenlin, et al.
Published: (2025)
CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-based CIM Architectures
by: Qi, Yingjie, et al.
Published: (2025)
by: Qi, Yingjie, et al.
Published: (2025)
Towards Efficient SRAM-PIM Architecture Design by Exploiting Unstructured Bit-Level Sparsity
by: Duan, Cenlin, et al.
Published: (2024)
by: Duan, Cenlin, et al.
Published: (2024)
CoVSpec: Efficient Device-Edge Co-Inference for Vision-Language Models via Speculative Decoding
by: Jia, Yuanyuan, et al.
Published: (2026)
by: Jia, Yuanyuan, et al.
Published: (2026)
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
by: You, Haoran, et al.
Published: (2021)
by: You, Haoran, et al.
Published: (2021)
CIMFlow: An Integrated Framework for Systematic Design and Evaluation of Digital CIM Architectures
by: Qi, Yingjie, et al.
Published: (2025)
by: Qi, Yingjie, et al.
Published: (2025)
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
by: Long, Lingkun, et al.
Published: (2025)
by: Long, Lingkun, et al.
Published: (2025)
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
by: Yang, Jianlei, et al.
Published: (2023)
by: Yang, Jianlei, et al.
Published: (2023)
MIREDO: MIP-Driven Resource-Efficient Dataflow Optimization for Computing-in-Memory Accelerator
by: He, Xiaolin, et al.
Published: (2025)
by: He, Xiaolin, et al.
Published: (2025)
COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference
by: Qiao, Ye, et al.
Published: (2025)
by: Qiao, Ye, et al.
Published: (2025)
CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference
by: Xu, Guanyu, et al.
Published: (2025)
by: Xu, Guanyu, et al.
Published: (2025)
GCoT: Chain-of-Thought Prompt Learning for Graphs
by: Yu, Xingtong, et al.
Published: (2025)
by: Yu, Xingtong, et al.
Published: (2025)
Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
by: Ke, Yuzhen, et al.
Published: (2024)
by: Ke, Yuzhen, et al.
Published: (2024)
Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
by: Long, Lingkun, et al.
Published: (2026)
by: Long, Lingkun, et al.
Published: (2026)
Towards Efficient Agents: A Co-Design of Inference Architecture and System
by: Lin, Weizhe, et al.
Published: (2025)
by: Lin, Weizhe, et al.
Published: (2025)
Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching
by: Liang, Wenyi, et al.
Published: (2024)
by: Liang, Wenyi, et al.
Published: (2024)
Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference
by: Yuan, Cheng, et al.
Published: (2025)
by: Yuan, Cheng, et al.
Published: (2025)
Synergistic Interface Engineering in Co 3 N/Co Heterostructure Enhances Catalytic Dehydrogenation of Formic Acid
by: Qianxi Shi, et al.
Published: (2026)
by: Qianxi Shi, et al.
Published: (2026)
DAT: Dual-Aware Adaptive Transmission for Efficient Multimodal LLM Inference in Edge-Cloud Systems
by: Guo, Qi, et al.
Published: (2026)
by: Guo, Qi, et al.
Published: (2026)
CoEdge-RAG: Optimizing Hierarchical Scheduling for Retrieval-Augmented LLMs in Collaborative Edge Computing
by: Hong, Guihang, et al.
Published: (2025)
by: Hong, Guihang, et al.
Published: (2025)
DSSD: Efficient Edge-Device LLM Deployment and Collaborative Inference via Distributed Split Speculative Decoding
by: Ning, Jiahong, et al.
Published: (2025)
by: Ning, Jiahong, et al.
Published: (2025)
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
by: Khare, Alind, et al.
Published: (2023)
by: Khare, Alind, et al.
Published: (2023)
ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling
by: Yang, Yuchen, et al.
Published: (2026)
by: Yang, Yuchen, et al.
Published: (2026)
SpikeBottleNet: Spike-Driven Feature Compression Architecture for Edge-Cloud Co-Inference
by: Hassan, Maruf, et al.
Published: (2024)
by: Hassan, Maruf, et al.
Published: (2024)
Efficient Orbitronic Terahertz Emission Based on CoPt Alloy
by: Yongshan Liu, et al.
Published: (2024)
by: Yongshan Liu, et al.
Published: (2024)
Efficient Terahertz Generation from CoPt-based Terahertz Emitters via Orbital-to-Charge Conversion
by: Liu, Yongshan, et al.
Published: (2024)
by: Liu, Yongshan, et al.
Published: (2024)
QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design
by: Pandey, Nilesh Prasad, et al.
Published: (2026)
by: Pandey, Nilesh Prasad, et al.
Published: (2026)
GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question Answering
by: Luo, Guanran, et al.
Published: (2026)
by: Luo, Guanran, 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)
by: Yang, Zheming, et al.
Published: (2025)
MSAO: Adaptive Modality Sparsity-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference
by: Yang, Zheming, et al.
Published: (2026)
by: Yang, Zheming, et al.
Published: (2026)
CutVQA: Co-Designing Circuit Cutting and Architecture Search for Scaling Variational Quantum Algorithms
by: Wu, Jun, et al.
Published: (2025)
by: Wu, Jun, et al.
Published: (2025)
On-Demand Multi-Task Sparsity for Efficient Large-Model Deployment on Edge Devices
by: Huang, Lianming, et al.
Published: (2025)
by: Huang, Lianming, et al.
Published: (2025)
HCInfer: An Efficient Inference System via Error Compensation for Resource-Constrained Devices
by: Xu, Shen, et al.
Published: (2026)
by: Xu, Shen, et al.
Published: (2026)
Similar Items
-
Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
by: Zhou, Ao, et al.
Published: (2024) -
HGNAS: Hardware-Aware Graph Neural Architecture Search for Edge Devices
by: Zhou, Ao, et al.
Published: (2024) -
ACE-GNN: Adaptive GNN Co-Inference with System-Aware Scheduling in Dynamic Edge Environments
by: Zhou, Ao, et al.
Published: (2025) -
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
by: Qiao, Tong, et al.
Published: (2024) -
Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
by: Qiao, Tong, et al.
Published: (2025)