ACM Transactions on Embedded Computing Systems

Papers
(The TQCC of ACM Transactions on Embedded Computing Systems is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)
ArticleCitations
Toward a Lingua Franca for Deterministic Concurrent Systems46
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards41
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition40
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare32
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks29
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation27
Heuristic Computation Offloading Algorithms for Mobile Users in Fog Computing27
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches27
Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping27
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions26
Side-channel Analysis of Lattice-based Post-quantum Cryptography: Exploiting Polynomial Multiplication25
Verifying the Safety of Autonomous Systems with Neural Network Controllers25
Intermittent-Aware Neural Architecture Search23
A Survey of Blockchain Data Management Systems23
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices22
Learning Nondeterministic Real-Time Automata21
ROBIN: A Robust Optical Binary Neural Network Accelerator21
LATTE: L STM Self- Att ention based Anomaly Detection in E mbedded Automotive Platforms20
Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking20
SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks20
Hardware Performance Counter-Based Fine-Grained Malware Detection20
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection20
SLAQA18
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks17
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems17
HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems16
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications16
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC16
PhiNets: A Scalable Backbone for Low-power AI at the Edge15
Post-Quantum Signatures on RISC-V with Hardware Acceleration15
Hardware Trojan Detection Using Machine Learning: A Tutorial14
AppAxO : Designing App lication-specific A ppro x imate O 14
Event-B Hybridation14
Towards an Integrated Vehicle Management System in DriveOS14
Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator14
TAMA14
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control14
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration13
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX213
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers13
Dealing with Uncertainty in pWCET Estimations13
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware13
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks13
CICERO: A Domain-Specific Architecture for Efficient Regular Expression Matching12
A Composable Monitoring System for Heterogeneous Embedded Platforms12
RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service12
Improving Power of DSP and CNN Hardware Accelerators Using Approximate Floating-point Multipliers12
CEDR: A Compiler-integrated, Extensible DSSoC Runtime12
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device12
Compositional Learning and Verification of Neural Network Controllers12
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications12
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols11
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators11
Side-channel and Fault-injection attacks over Lattice-based Post-quantum Schemes (Kyber, Dilithium): Survey and New Results11
A Configurable CRYSTALS-Kyber Hardware Implementation with Side-Channel Protection11
Fast and Energy-Efficient State Checkpointing for Intermittent Computing11
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor11
Determinism11
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks10
Trustworthy Autonomous System Development10
Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems10
Golden Chip-Free Trojan Detection Leveraging Trojan Trigger’s Side-Channel Fingerprinting10
Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm10
Efficient Realization of Decision Trees for Real-Time Inference10
Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator10
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors10
Demystifying Energy Consumption Dynamics in Transiently powered Computers10
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems10
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design9
Winograd Convolution for Deep Neural Networks: Efficient Point Selection9
MAGNETO9
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks9
Two Birds With One Stone: Boosting Both Search and Write Performance for Tree Indices on Persistent Memory9
Domain-Specific Architectures: Research Problems and Promising Approaches9
An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory9
Optimus: An Operator Fusion Framework for Deep Neural Networks9
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory9
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements9
SEAMS9
FLASH: F ast Neura l A rchitecture S earch with H ardware9
Heterogeneity-aware Multicore Synchronization for Intermittent Systems9
Horizontal Auto-Scaling for Multi-Access Edge Computing Using Safe Reinforcement Learning9
RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping8
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches8
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems8
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection8
SPECTRUM8
Application-centric Network Management - Addressing Safety and Real-time in V2X Applications8
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms8
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance8
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory8
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology8
Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge8
Reducing Energy in GPGPUs through Approximate Trivial Bypassing8
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array8
Domain-specific Hybrid Mapping for Energy-efficient Baseband Processing in Wireless Networks8
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems8
Tutorial: Toward Robust Deep Learning against Poisoning Attacks8
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems7
Sense Your Power7
UBAR7
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators7
Rtkaller: State-aware Task Generation for RTOS Fuzzing7
Compositional Timing Analysis of Asynchronized Distributed Cause-effect Chains7
A TCAM-based Caching Architecture Framework for Packet Classification7
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems7
Federated Self-training for Semi-supervised Audio Recognition7
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs7
SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs7
Survey of Control-flow Integrity Techniques for Real-time Embedded Systems7
Formally Verified Loop-Invariant Code Motion and Assorted Optimizations6
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation6
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks6
??????: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System6
An Efficient CNN Accelerator for Low-Cost Edge Systems6
ETAP: Energy-aware Timing Analysis of Intermittent Programs6
EncoDeep6
Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC6
Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors6
Toward Adversary-aware Non-iterative Model Pruning through D ynamic N etwork R ewiring of DNNs6
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems6
Improving the Performance of Hybrid Caches Using Partitioned Victim Caching6
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators6
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework6
Beyond Cache Attacks6
DASS: Differentiable Architecture Search for Sparse Neural Networks6
More Is Less: Model Augmentation for Intermittent Deep Inference6
Crab-tree6
A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces6
A Distributed Real-time Scheduling System for Industrial Wireless Networks6
GMAI6
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