Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
Fuente:
arXiv
Saved in:
| Main Authors: | K., Prashanthi S., Taluri, Saisamarth, Gupta, Pranav, Saikia, Amartya Ranjan, Sahoo, Kunal Kumar, Joshi, Atharva Vinay, Karwa, Lakshya, Dhule, Kedar, Simmhan, Yogesh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges
by: K., Prashanthi S., et al.
Published: (2024)
by: K., Prashanthi S., et al.
Published: (2024)
Pagoda: An Energy and Time Roofline Study for DNN Workloads on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2025)
by: K., Prashanthi S., et al.
Published: (2025)
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2023)
by: K., Prashanthi S., et al.
Published: (2023)
Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
by: Tayal, Mumuksh, et al.
Published: (2025)
by: Tayal, Mumuksh, et al.
Published: (2025)
Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
by: Raj, Suman, et al.
Published: (2024)
by: Raj, Suman, et al.
Published: (2024)
Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
by: K., Prashanthi S., et al.
Published: (2025)
by: K., Prashanthi S., et al.
Published: (2025)
Understanding the Performance and Power of LLM Inferencing on Edge Accelerators
by: Arya, Mayank, et al.
Published: (2025)
by: Arya, Mayank, et al.
Published: (2025)
Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
by: Ng, Nathan, et al.
Published: (2026)
by: Ng, Nathan, et al.
Published: (2026)
Ripple: Scalable Incremental GNN Inferencing on Large Streaming Graphs
by: Naman, Pranjal, et al.
Published: (2025)
by: Naman, Pranjal, et al.
Published: (2025)
ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2026)
by: Naman, Pranjal, et al.
Published: (2026)
Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
by: Banerjee, Roopkatha, et al.
Published: (2025)
by: Banerjee, Roopkatha, et al.
Published: (2025)
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
by: Marisetty, Harsha Varun, et al.
Published: (2025)
by: Marisetty, Harsha Varun, et al.
Published: (2025)
Towards AI Agents for Course Instruction in Higher Education: Early Experiences from the Field
by: Simmhan, Yogesh, et al.
Published: (2025)
by: Simmhan, Yogesh, et al.
Published: (2025)
Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2025)
by: Naman, Pranjal, et al.
Published: (2025)
Per-Phase Fidelity Attribution for Quantum Compilers using HBR Decomposition
by: Pati, Chandrachud, et al.
Published: (2026)
by: Pati, Chandrachud, et al.
Published: (2026)
OptimES: Optimizing Federated Learning Using Remote Embeddings for Graph Neural Networks
by: Naman, Pranjal, et al.
Published: (2025)
by: Naman, Pranjal, et al.
Published: (2025)
Folding-Free Zero-Noise Extrapolation by Layout-induced Noise Diversity
by: Pal, Debarthi, et al.
Published: (2026)
by: Pal, Debarthi, et al.
Published: (2026)
AeroGen: Agentic Drone Autonomy through Single-Shot Structured Prompting & Drone SDK
by: Astu, Kautuk, et al.
Published: (2026)
by: Astu, Kautuk, et al.
Published: (2026)
RIPPLE++: An Incremental Framework for Efficient GNN Inference on Evolving Graphs
by: Naman, Pranjal, et al.
Published: (2026)
by: Naman, Pranjal, et al.
Published: (2026)
AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets
by: Jaiswal, Shashwat, et al.
Published: (2025)
by: Jaiswal, Shashwat, et al.
Published: (2025)
Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired
by: Raj, Suman, et al.
Published: (2025)
by: Raj, Suman, et al.
Published: (2025)
AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios
by: Raj, Suman, et al.
Published: (2025)
by: Raj, Suman, et al.
Published: (2025)
Matrix Multiplication in the MPC Model
by: Joshi, Lakshya, et al.
Published: (2025)
by: Joshi, Lakshya, et al.
Published: (2025)
AdaOper: Energy-efficient and Responsive Concurrent DNN Inference on Mobile Devices
by: Lin, Zheng, et al.
Published: (2024)
by: Lin, Zheng, et al.
Published: (2024)
A Survey on Collaborative DNN Inference for Edge Intelligence
by: Ren, Weiqing, et al.
Published: (2022)
by: Ren, Weiqing, et al.
Published: (2022)
Mirage: An RNS-Based Photonic Accelerator for DNN Training
by: Demirkiran, Cansu, et al.
Published: (2023)
by: Demirkiran, Cansu, et al.
Published: (2023)
NeoARCADE: Robust Calibration for Distance Estimation to Support Assistive Drones for the Visually Impaired
by: Raj, Suman, et al.
Published: (2025)
by: Raj, Suman, et al.
Published: (2025)
SGDRC: Software-Defined Dynamic Resource Control for Concurrent DNN Inference on NVIDIA GPUs
by: Zhang, Yongkang, et al.
Published: (2024)
by: Zhang, Yongkang, et al.
Published: (2024)
Multi-DNN Inference of Sparse Models on Edge SoCs
by: Luo, Jiawei, et al.
Published: (2026)
by: Luo, Jiawei, et al.
Published: (2026)
Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market
by: Li, Songyuan, et al.
Published: (2025)
by: Li, Songyuan, et al.
Published: (2025)
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference
by: Huang, Yin, et al.
Published: (2024)
by: Huang, Yin, et al.
Published: (2024)
AeroDaaS: A Programmable Drones-as-a-Service Platform for Intelligent Aerial Systems
by: Astu, Kautuk, et al.
Published: (2026)
by: Astu, Kautuk, et al.
Published: (2026)
AeroDaaS: Towards an Application Programming Framework for Drones-as-a-Service
by: Raj, Suman, et al.
Published: (2025)
by: Raj, Suman, et al.
Published: (2025)
CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware
by: Kundu, Souvik, et al.
Published: (2024)
by: Kundu, Souvik, et al.
Published: (2024)
Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
Path-Following Guidance for Unmanned Aerial Vehicle with Bounded Lateral Acceleration
by: Kathiriya, Vinay, et al.
Published: (2026)
by: Kathiriya, Vinay, et al.
Published: (2026)
Non-archimedean periods for log Calabi-Yau surfaces
by: Karwa, Soham, et al.
Published: (2025)
by: Karwa, Soham, et al.
Published: (2025)
Disentangling Linguistic Features with Dimension-Wise Analysis of Vector Embeddings
by: Karwa, Saniya, et al.
Published: (2025)
by: Karwa, Saniya, et al.
Published: (2025)
Neural Video Compression using 2D Gaussian Splatting
by: Gupta, Lakshya, et al.
Published: (2025)
by: Gupta, Lakshya, et al.
Published: (2025)
Evaluating Dialect Robustness of Language Models via Conversation Understanding
by: Srirag, Dipankar, et al.
Published: (2024)
by: Srirag, Dipankar, et al.
Published: (2024)
Similar Items
-
PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges
by: K., Prashanthi S., et al.
Published: (2024) -
Pagoda: An Energy and Time Roofline Study for DNN Workloads on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2025) -
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators
by: K., Prashanthi S., et al.
Published: (2023) -
Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
by: Tayal, Mumuksh, et al.
Published: (2025) -
Adaptive Heuristics for Scheduling DNN Inferencing on Edge and Cloud for Personalized UAV Fleets
by: Raj, Suman, et al.
Published: (2024)