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Timing isolation and improved scheduling of deep neural networks for real‐time systems

https://doi.org/10.1002/spe.2840
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.2333openalex-snapshot
Timing analysis of the PREEMPT RT Linux kernel
inferredcites →https://doi.org/10.1002/spe.2335openalex-snapshot
Deadline scheduling in the Linux kernel
inferredcites →https://doi.org/10.1007/978-1-4614-0676-1openalex-snapshot
Hard Real-Time Computing Systems
inferredcites →https://doi.org/10.1007/bf01094172openalex-snapshot
Aperiodic servers in a deadline scheduling environment
inferredcites →https://doi.org/10.1007/bf01995675openalex-snapshot
Algorithms and complexity concerning the preemptive scheduling of periodic, real-time tasks on one processor
inferredcites →https://doi.org/10.1007/s11241-018-9303-1openalex-snapshot
On the ineffectiveness of 1/m-based interference bounds in the analysis of global EDF and FIFO scheduling
inferredcites →https://doi.org/10.1007/s11241-018-9314-yopenalex-snapshot
DeepRT: predictable deep learning inference for cyber-physical systems
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1016/j.neucom.2018.04.061openalex-snapshot
A novel robust algorithm for position and orientation detection based on cascaded deep neural network
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101729openalex-snapshot
A thread synchronization model for the PREEMPT_RT Linux kernel
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/ecrts.2010.19openalex-snapshot
The Multiprocessor Bandwidth Inheritance Protocol
inferredcites →https://doi.org/10.1109/etfa.2008.4638456openalex-snapshot
Scheduling of semi-independent real-time components: Overrun methods and resource holding times.
inferredcites →https://doi.org/10.1109/iccv.2015.312openalex-snapshot
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
inferredcites →https://doi.org/10.1109/ipsn.2016.7460664openalex-snapshot
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
inferredcites →https://doi.org/10.1109/rtas.2017.26openalex-snapshot
Work-In-Progress: Protecting Real-Time GPU Applications on Integrated CPU-GPU SoC Platforms
inferredcites →https://doi.org/10.1109/rtas.2018.00028openalex-snapshot
S^3DNN: Supervised Streaming and Scheduling for GPU-Accelerated Real-Time DNN Workloads
inferredcites →https://doi.org/10.1109/rtas.2019.00033openalex-snapshot
Re-Thinking CNN Frameworks for Time-Sensitive Autonomous-Driving Applications: Addressing an Industrial Challenge
inferredcites →https://doi.org/10.1109/rtss.2006.42openalex-snapshot
Resource Sharing in Hierarchical Fixed Priority Pre-Emptive Systems
inferredcites →https://doi.org/10.1109/rtss.2016.010openalex-snapshot
A Framework for Supporting Real-Time Applications on Dynamic Reconfigurable FPGAs
inferredcites →https://doi.org/10.1109/rtss.2016.019openalex-snapshot
Global Scheduling Not Required: Simple, Near-Optimal Multiprocessor Real-Time Scheduling with Semi-Partitioned Reservations
inferredcites →https://doi.org/10.1109/rtss.2018.00017openalex-snapshot
ApNet: Approximation-Aware Real-Time Neural Network
inferredcites →https://doi.org/10.1109/rtss.2018.00020openalex-snapshot
PredJoule: A Timing-Predictable Energy Optimization Framework for Deep Neural Networks
inferredcites →https://doi.org/10.1109/rtss.2018.00021openalex-snapshot
Deadline-Based Scheduling for GPU with Preemption Support
inferredcites →https://doi.org/10.1109/sies.2014.6871182openalex-snapshot
Hard Constant Bandwidth Server: Comprehensive formulation and critical scenarios
inferredcites →https://doi.org/10.1109/tc.2009.58openalex-snapshot
Schedulability Analysis for Real-Time Systems with EDF Scheduling
inferredcites →https://doi.org/10.1109/tc.2015.2444833openalex-snapshot
Schedulability Analysis of Hierarchical Real-Time Systems under Shared Resources
inferredcites →https://doi.org/10.1109/tii.2009.2026051openalex-snapshot
Resource-Sharing Servers for Open Environments
inferredcites →https://doi.org/10.1109/tii.2009.2037918openalex-snapshot
Overrun Methods and Resource Holding Times for Hierarchical Scheduling of Semi-Independent Real-Time Systems
inferredcites →https://doi.org/10.1145/1289927.1289970openalex-snapshot
SIRAP
inferredcites →https://doi.org/10.1145/3061639.3062260openalex-snapshot
Hierarchical Dataflow Modeling of Iterative Applications
inferredcites →https://doi.org/10.1145/3139258.3139270openalex-snapshot
SiGAMMA
inferredcites →https://doi.org/10.1145/3139258.3139285openalex-snapshot
Constant bandwidth servers with constrained deadlines
inferredcites →https://doi.org/10.1145/3316781.3317771openalex-snapshot
Analyzing Parallel Real-Time Tasks Implemented with Thread Pools
inferredcites →https://doi.org/10.1177/0278364914549607openalex-snapshot
Deep learning for detecting robotic grasps
inferredcites →https://doi.org/10.23919/date.2017.7927008openalex-snapshot
GPUguard: Towards supporting a predictable execution model for heterogeneous SoC
inferredcites →https://doi.org/10.23919/date.2018.8342031openalex-snapshot
HTF-MPR: A heterogeneous TensorFlow mapper targeting performance using genetic algorithms and gradient boosting regressors
inferredcites →https://doi.org/10.3390/s19030644openalex-snapshot
An Automatic Surface Defect Inspection System for Automobiles Using Machine Vision Methods
inferredcites →https://doi.org/10.5220/0006596400360047openalex-snapshot
Real-time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/spe.2890openalex-snapshot
HEART : Unrelated parallel machines problem with precedence constraints for task scheduling in cloud computing using heuristic and meta‐heuristic algorithms
inferred← citeshttps://doi.org/10.1016/j.sysarc.2022.102416openalex-snapshot
Optimized partitioning and priority assignment of real-time applications on heterogeneous platforms with hardware acceleration
inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103219openalex-snapshot
The MATERIAL framework: Modeling and AuTomatic code Generation of Edge Real-TIme AppLications under the QNX RTOS
inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103403openalex-snapshot
Managing real-time constraints through monitoring and analysis-driven edge orchestration
inferred← citeshttps://doi.org/10.1109/dcoss-iot65416.2025.00071openalex-snapshot
Runtime Monitoring for Edge Applications
inferred← citeshttps://doi.org/10.1109/dsd57027.2022.00029openalex-snapshot
Placement of Chains of Real-Time Tasks on Heterogeneous Platforms under EDF Scheduling
inferred← citeshttps://doi.org/10.1109/rtas52030.2021.00020openalex-snapshot
Budget RNNs: Multi-Capacity Neural Networks to Improve In-Sensor Inference Under Energy Budgets
inferred← citeshttps://doi.org/10.1109/rtas54340.2022.00025openalex-snapshot
End-to-End Analysis of Event Chains under the QNX Adaptive Partitioning Scheduler
inferred← citeshttps://doi.org/10.1109/rtas58335.2023.00030openalex-snapshot
On the QNX IPC: Assessing Predictability for Local and Distributed Real-Time Systems
inferred← citeshttps://doi.org/10.1109/rtcsa52859.2021.00017openalex-snapshot
A Multi-Domain Software Architecture for Safe and Secure Autonomous Driving
inferred← citeshttps://doi.org/10.1109/rtss52674.2021.00047openalex-snapshot
Time-Predictable Acceleration of Deep Neural Networks on FPGA SoC Platforms
inferred← citeshttps://doi.org/10.1109/rtss55097.2022.00016openalex-snapshot
A Theoretical Approach to Determine the Optimal Size of a Thread Pool for Real-Time Systems
inferred← citeshttps://doi.org/10.1109/tc.2022.3179227openalex-snapshot
AXI-IC^{RT}: Towards a Real-Time AXI-Interconnect for Highly Integrated SoCs
inferred← citeshttps://doi.org/10.1145/3453417.3453425openalex-snapshot
Optimal Synthesis of IDK-Cascades
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