Imagen de Portada

Energy-Aware DNN Graph Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Yu, Ge, Rong, Qiu, Shuang
Formato:	Preprint
Publicado:	2020
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam
por: Peng, Hanyang, et al.
Publicado: (2025)

MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators
por: Leon, Vasileios, et al.
Publicado: (2025)

Efficient Graph Optimization via Distance-Aware Graph Representation Learning
por: Liu, Dong, et al.
Publicado: (2024)

HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator
por: Yu, Zhewen, et al.
Publicado: (2024)

SigmaQuant: Hardware-Aware Heterogeneous Quantization Method for Edge DNN Inference
por: Liu, Qunyou, et al.
Publicado: (2026)

Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization
por: Qiu, Yang, et al.
Publicado: (2026)

Hardware-Aware DNN Compression for Homogeneous Edge Devices
por: Zhang, Kunlong, et al.
Publicado: (2025)

Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers
por: Mishra, Cyan Subhra, et al.
Publicado: (2024)

Combining Relevance and Magnitude for Resource-Aware DNN Pruning
por: Chiasserini, Carla Fabiana, et al.
Publicado: (2024)

Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time
por: Risso, Matteo, et al.
Publicado: (2024)

OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
por: Jiang, Haoyu, et al.
Publicado: (2023)

Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services
por: Cheng, Zhipeng, et al.
Publicado: (2025)

Safe Multitask Molecular Graph Networks for Vapor Pressure and Odor Threshold Prediction
por: Wu, Shuang, et al.
Publicado: (2026)

Enlightenment Period Improving DNN Performance
por: Liu, Tiantian, et al.
Publicado: (2025)

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
por: Qiu, Han, et al.
Publicado: (2020)

Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling
por: Chen, Lequn, et al.
Publicado: (2023)

DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis
por: Han, Yunchu, et al.
Publicado: (2025)

Full-Stack Optimization for CAM-Only DNN Inference
por: de Lima, João Paulo C., et al.
Publicado: (2024)

EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization
por: Song, Zhiye, et al.
Publicado: (2026)

Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
por: Shan, Zhao, et al.
Publicado: (2024)

Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization
por: Liu, Ganlin, et al.
Publicado: (2024)

AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
por: Zhao, Boran, et al.
Publicado: (2025)

Safe Multi-Agent Deep Reinforcement Learning for Privacy-Aware Edge-Device Collaborative DNN Inference
por: Wang, Hong, et al.
Publicado: (2026)

THeGAU: Type-Aware Heterogeneous Graph Autoencoder and Augmentation
por: Hong, Ming-Yi, et al.
Publicado: (2025)

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization
por: Zheng, Amber Yijia, et al.
Publicado: (2024)

oneDNN Graph Compiler: A Hybrid Approach for High-Performance Deep Learning Compilation
por: Li, Jianhui, et al.
Publicado: (2023)

vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs
por: Zheng, Size, et al.
Publicado: (2024)

Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems
por: Zhi, Dapeng, et al.
Publicado: (2024)

Rethinking the Potential of Layer Freezing for Efficient DNN Training
por: Yang, Chence, et al.
Publicado: (2025)

CAFD: Concept-Aware DNN Fault Detection using VLMs
por: Abbasishahkoo, Amin, et al.
Publicado: (2026)

DNN Modularization via Activation-Driven Training
por: Ngo, Tuan, et al.
Publicado: (2024)

Feather: An Elegant Solution to Effective DNN Sparsification
por: Georgoulakis, Athanasios Glentis, et al.
Publicado: (2023)

How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
por: Zhou, Mo, et al.
Publicado: (2024)

On the Limitations of Temperature Scaling for Distributions with Overlaps
por: Chidambaram, Muthu, et al.
Publicado: (2023)

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition
por: Ge, Wen, et al.
Publicado: (2024)

GEN: A Practical Alternative to Graph Transformers for Long-Range Graph Modeling
por: Wang, Shuo, et al.
Publicado: (2024)

Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
por: Qiao, Zhongjian, et al.
Publicado: (2026)

GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism
por: Jeon, Byungsoo, et al.
Publicado: (2024)

Relation-Aware Graph Foundation Model
por: Yu, Jianxiang, et al.
Publicado: (2025)

Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems (extended version)
por: Zhao, Taibiao, et al.
Publicado: (2026)