ACM Transactions on Embedded Computing Systems

Papers
(The median citation count of ACM Transactions on Embedded Computing Systems is 2. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Toward a Lingua Franca for Deterministic Concurrent Systems49
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards44
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition42
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare32
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches29
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks29
Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping28
Heuristic Computation Offloading Algorithms for Mobile Users in Fog Computing27
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation27
Verifying the Safety of Autonomous Systems with Neural Network Controllers26
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions26
Side-channel Analysis of Lattice-based Post-quantum Cryptography: Exploiting Polynomial Multiplication26
A Survey of Blockchain Data Management Systems25
Intermittent-Aware Neural Architecture Search23
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices22
ROBIN: A Robust Optical Binary Neural Network Accelerator21
Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking21
Learning Nondeterministic Real-Time Automata21
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection20
SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks20
LATTE: L STM Self- Att ention based Anomaly Detection in E mbedded Automotive Platforms20
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks19
SLAQA18
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications17
Post-Quantum Signatures on RISC-V with Hardware Acceleration17
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems17
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC16
PhiNets: A Scalable Backbone for Low-power AI at the Edge16
HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems16
Hardware Trojan Detection Using Machine Learning: A Tutorial15
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks15
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control14
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX214
TAMA14
AppAxO : Designing App lication-specific A ppro x imate O 14
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers14
Towards an Integrated Vehicle Management System in DriveOS14
Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator14
Event-B Hybridation14
Improving Power of DSP and CNN Hardware Accelerators Using Approximate Floating-point Multipliers13
RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service13
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware13
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration13
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device12
Compositional Learning and Verification of Neural Network Controllers12
A Composable Monitoring System for Heterogeneous Embedded Platforms12
CICERO: A Domain-Specific Architecture for Efficient Regular Expression Matching12
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols12
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications12
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design12
Side-channel and Fault-injection attacks over Lattice-based Post-quantum Schemes (Kyber, Dilithium): Survey and New Results12
CEDR: A Compiler-integrated, Extensible DSSoC Runtime12
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators11
Trustworthy Autonomous System Development11
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors11
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor11
Determinism11
A Configurable CRYSTALS-Kyber Hardware Implementation with Side-Channel Protection11
Domain-Specific Architectures: Research Problems and Promising Approaches10
MemFHE: End-to-end Computing with Fully Homomorphic Encryption in Memory10
Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems10
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks10
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
Golden Chip-Free Trojan Detection Leveraging Trojan Trigger’s Side-Channel Fingerprinting10
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements10
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems10
SEAMS9
An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory9
Optimus: An Operator Fusion Framework for Deep Neural Networks9
Two Birds With One Stone: Boosting Both Search and Write Performance for Tree Indices on Persistent Memory9
Winograd Convolution for Deep Neural Networks: Efficient Point Selection9
MAGNETO9
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks9
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
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory8
Compositional Timing Analysis of Asynchronized Distributed Cause-effect Chains8
Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge8
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms8
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array8
Domain-specific Hybrid Mapping for Energy-efficient Baseband Processing in Wireless Networks8
Application-centric Network Management - Addressing Safety and Real-time in V2X Applications8
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology8
Reducing Energy in GPGPUs through Approximate Trivial Bypassing8
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems8
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance8
Tutorial: Toward Robust Deep Learning against Poisoning Attacks8
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches8
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems8
RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping8
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection8
An Efficient CNN Accelerator for Low-Cost Edge Systems7
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
A TCAM-based Caching Architecture Framework for Packet Classification7
Rtkaller: State-aware Task Generation for RTOS Fuzzing7
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems7
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators7
UBAR7
Federated Self-training for Semi-supervised Audio Recognition7
Sense Your Power7
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems7
Survey of Control-flow Integrity Techniques for Real-time Embedded Systems7
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework6
Beyond Cache Attacks6
Formally Verified Loop-Invariant Code Motion and Assorted Optimizations6
More Is Less: Model Augmentation for Intermittent Deep Inference6
??????: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System6
Improving the Performance of Hybrid Caches Using Partitioned Victim Caching6
A Distributed Real-time Scheduling System for Industrial Wireless Networks6
ETAP: Energy-aware Timing Analysis of Intermittent Programs6
DASS: Differentiable Architecture Search for Sparse Neural Networks6
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation6
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
A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces6
Microarchitectural Exploration of STT-MRAM Last-level Cache Parameters for Energy-efficient Devices6
Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes6
Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC6
Formally Verified Next-generation Airborne Collision Avoidance Games in ACAS X6
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks6
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems6
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators6
Optimization of Signal Processing Applications Using Parameterized Error Models for Approximate Adders5
Skills Gaps in the Industry5
FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity5
Adaptive Computation Reuse for Energy-Efficient Training of Deep Neural Networks5
Minimizing Stack Memory for Partitioned Mixed-criticality Scheduling on Multiprocessor Platforms5
FedHIL: Heterogeneity Resilient Federated Learning for Robust Indoor Localization with Mobile Devices5
Energy-efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions5
Hierarchical Resource Orchestration Framework for Real-time Containers5
ARES: Persistently Secure Non-Volatile Memory with Processor-transparent and Hardware-friendly Integrity Verification and Metadata Recovery5
Multi-Compression Scale DNN Inference Acceleration based on Cloud-Edge-End Collaboration5
Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs5
Secure and Lightweight Blockchain-based Truthful Data Trading for Real-Time Vehicular Crowdsensing5
Enhancing the Energy Efficiency and Robustness of tinyML Computer Vision Using Coarsely-quantized Log-gradient Input Images5
Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems5
TAB: Unified and Optimized Ternary, Binary, and Mixed-precision Neural Network Inference on the Edge5
SensorGAN: A Novel Data Recovery Approach for Wearable Human Activity Recognition5
Reconfigurable System-on-Chip Architectures for Robust Visual SLAM on Humanoid Robots5
Probabilistic Estimation of Threat Intrusion in Embedded Systems for Runtime Detection5
REPAIR: Control Flow Protection based on Register Pairing Updates for SW-Implemented HW Fault Tolerance5
Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge5
LPWAN in the TV White Spaces5
Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey5
Synthesis-guided Adversarial Scenario Generation for Gray-box Feedback Control Systems with Sensing Imperfections4
Introduction to the Special Issue on Memory and Storage Systems for Embedded and IoT Applications4
How Flexible is Your Computing System?4
High-performance Reconfigurable DNN Accelerator on a Bandwidth-limited Embedded System4
Prepare: P owe r -Awar e A p proximate Re a l4
Criticality-aware Monitoring and Orchestration for Containerized Industry 4.0 Environments4
An Ultra-low-power Embedded AI Fire Detection and Crowd Counting System for Indoor Areas4
Automatic Generation of Resource and Accuracy Configurable Processing Elements4
TinyNS: Platform-aware Neurosymbolic Auto Tiny Machine Learning4
TyBox: An Automatic Design and Code Generation Toolbox for TinyML Incremental On-Device Learning4
Hephaestus : Codesigning and Automating 3D Image Registration on Reconfigurable Architectures4
Killing Processes or Killing Flash? Escaping from the Dilemma Using Lightweight, Compression-Aware Swap for Mobile Devices4
A Framework for Neural Network Architecture and Compile Co-optimization4
On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection4
A Design Flow Based on Docker and Kubernetes for ROS-based Robotic Software Applications4
Early DSE and Automatic Generation of Coarse-grained Merged Accelerators4
A Write-Related and Read-Related DRAM Allocation Strategy Inside Solid-State Drives (SSDs)4
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics4
Efficient-Grad: Efficient Training Deep Convolutional Neural Networks on Edge Devices with Grad ient Optimizations4
Agile Acceleration of Stateful Hash-based Signatures in Hardware4
ObNoCs : Protecting Network-on-Chip Fabrics Against Reverse-Engineering Attacks4
On the RTL Implementation of FINN Matrix Vector Unit4
Structured Proofs for Adversarial Cyber-Physical Systems4
Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies4
Cryptographic Engineering a Fast and Efficient SIKE in FPGA4
Regime Inference for Sound Floating-Point Optimizations4
Scheduling in Real-Time Mobile Systems4
MSYNC: A Generalized Formal Design Pattern for Virtually Synchronous Multirate Cyber-physical Systems4
Performance and Power Estimation of STT-MRAM Main Memory with Reliable System-level Simulation4
TinyM 2 Net-V2: A Compact Low-power Software Hardware Architecture for M ulti m odal Deep Neural Networ3
Hardware Performance Counters: Ready-Made vs Tailor-Made3
Exploring Efficient Architectures on Remote In-Memory NVM over RDMA3
Probabilistic Risk-Aware Scheduling with Deadline Constraint for Heterogeneous SoCs3
ForSyDe-Atom3
BitSET: Bit-Serial Early Termination for Computation Reduction in Convolutional Neural Networks3
A Fall Detection Network by 2D/3D Spatio-temporal Joint Models with Tensor Compression on Edge3
OnSRAM: Efficient Inter-Node On-Chip Scratchpad Management in Deep Learning Accelerators3
DyCo: Dynamic, Contextualized AI Models3
A Review of Abstraction Methods Toward Verifying Neural Networks3
High-Level Approaches to Hardware Security: A Tutorial3
HLS-based High-throughput and Work-efficient Synthesizable Graph Processing Template Pipeline3
HMT: A Hardware-centric Hybrid Bonsai Merkle Tree Algorithm for High-performance Authentication3
ViT4Mal: Lightweight Vision Transformer for Malware Detection on Edge Devices3
Risk of Stochastic Systems for Temporal Logic Specifications3
GHOST: A Graph Neural Network Accelerator using Silicon Photonics3
L 2 C: Combining Lossy and Lossless Compression on Memory and I/O3
A Segmented Adaptive Router for Near Energy-Proportional Networks-on-Chip3
EMS-i : An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference3
A Proven Translation from a UML State Machine Subset to Timed Automata3
Deadline-Aware Task Offloading for Vehicular Edge Computing Networks Using Traffic Light Data3
IoT-Fog-Cloud Centric Earthquake Monitoring and Prediction3
PHiLIP on the HiL: Automated Multi-Platform OS Testing With External Reference Devices3
Multi-bit Data Flow Error Detection Method Based on SDC Vulnerability Analysis3
Attack-resilient Fusion of Sensor Data with Uncertain Delays3
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks3
Holistic Resource Allocation Under Federated Scheduling for Parallel Real-time Tasks3
Symbolic Loop Compilation for Tightly Coupled Processor Arrays3
SIKE in 32-bit ARM Processors Based on Redundant Number System for NIST Level-II3
A Framework for Calculating WCET Based on Execution Decision Diagrams3
Energy-Efficient Approximate Edge Inference Systems3
Benchmarking and Configuring Security Levels in Intermittent Computing3
Hardware-friendly User-specific Machine Learning for Edge Devices3
Cross-Layer Adaptation with Safety-Assured Proactive Task Job Skipping3
Code-size-aware Scheduling of Synchronous Dataflow Graphs on Multicore Systems3
Code Generation for Neural Networks Based on Fixed-point Arithmetic2
Data Pattern Aware Reliability Enhancement Scheme for 3D Solid-State Drives2
Excluding Parallel Execution to Improve Global Fixed Priority Response Time Analysis2
Fine-grained Hardware Acceleration for Efficient Batteryless Intermittent Inference on the Edge2
ACDSE: A Design Space Exploration Method for CNN Accelerator based on Adaptive Compression Mechanism2
RDF: A Reconfigurable Dataflow Model of Computation2
Improving Worst-case TSN Communication Times of Large Sensor Data Samples by Exploiting Synchronization2
Accelerated Fire Detection and Localization at Edge2
Performance Modeling of Computer Vision-based CNN on Edge GPUs2
Integrated Hardware Garbage Collection2
Mining Hyperproperties using Temporal Logics2
DaCapo: An On-Device Learning Scheme for Memory-Constrained Embedded Systems2
Protecting Network-on-Chip Intellectual Property Using Timing Channel Fingerprinting2
Overflow-free Compute Memories for Edge AI Acceleration2
Formal Synthesis of Neural Barrier Certificates for Continuous Systems via Counterexample Guided Learning2
Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition2
Efficient External Sorting for Memory-Constrained Embedded Devices with Flash Memory2
How to Enable Index Scheme for Reducing the Writing Cost of DNA Storage on Insertion and Deletion2
Supervisory Control for Dynamic Feature Configuration in Product Lines2
HEART: H ybrid Memory and E nergy- A ware R eal- T 2
Guaranteeing Timely Response to Changes of Monitored Objects by Assigning Deadlines and Periods to Tasks2
Kryptonite: Worst-Case Program Interference Estimation on Multi-Core Embedded Systems2
DirectNVM: Hardware-accelerated NVMe SSDs for High-performance Embedded Computing2
Lane Compression2
IoV-Fog-Assisted Framework for Accident Detection and Classification2
Neural Network Compression for Noisy Storage Devices2
Early SoCs Information Flow Policies Validation Using SystemC-Based Virtual Prototypes at the ESL2
Energy-Aware Adaptive Mixed-Criticality Scheduling with Semi-Clairvoyance and Graceful Degradation2
Efficient Table-based Function Approximation on FPGAs Using Interval Splitting and BRAM Instantiation2
Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems2
Resource-demand Estimation for Edge Tensor Processing Units2
Modeling and Analysis of ETC Control System with Colored Petri Net and Dynamic Slicing2
TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores2
Towards Building Verifiable CPS using Lingua Franca2
The Sparse Synchronous Model on Real Hardware2
Optimal Checkpointing Strategy for Real-time Systems with Both Logical and Timing Correctness2
Read Refresh Scheduling and Data Reallocation against Read Disturb in SSDs2
Schedulability Analysis for Timed Automata With Tasks2
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