ACM Transactions on Embedded Computing Systems

Papers
(The median citation count of ACM Transactions on Embedded Computing Systems is 1. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Toward a Lingua Franca for Deterministic Concurrent Systems34
MARS: mmWave-based Assistive Rehabilitation System for Smart Healthcare28
Game-Based Task Offloading of Multiple Mobile Devices with QoS in Mobile Edge Computing Systems of Limited Computation Capacity26
Edge-AI-Driven Framework with Efficient Mobile Network Design for Facial Expression Recognition25
Heuristic Computation Offloading Algorithms for Mobile Users in Fog Computing25
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards25
Verifying the Safety of Autonomous Systems with Neural Network Controllers23
Side-Channel Analysis of Lattice-Based Post-Quantum Cryptography: Exploiting Polynomial Multiplication22
Deep Ensemble Learning for Human Activity Recognition Using Wearable Sensors via Filter Activation22
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks20
LATTE: L STM Self- Att ention based Anomaly Detection in E mbedded Automotive Platforms18
Intermittent-Aware Neural Architecture Search18
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions17
Distributed Task Offloading and Resource Purchasing in NOMA-Enabled Mobile Edge Computing: Hierarchical Game Theoretical Approaches17
ROBIN: A Robust Optical Binary Neural Network Accelerator16
Reliability-aware Scheduling and Routing for Messages in Time-sensitive Networking16
Energy Modeling for the Bluetooth Low Energy Protocol15
Predictive Monitoring with Logic-Calibrated Uncertainty for Cyber-Physical Systems15
SLAQA14
Design Space Exploration for Ultra-Low-Energy and Secure IoT MCUs14
SNR: S queezing N umerical R ange Defuses Bit Error Vulnerability Surface in Deep Neural Networks14
HMDS: A Makespan Minimizing DAG Scheduler for Heterogeneous Distributed Systems14
Improving Performance-Power-Programmability in Space Avionics with Edge Devices: VBN on Myriad2 SoC14
Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping14
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks13
SAGE: A Split-Architecture Methodology for Efficient End-to-End Autonomous Vehicle Control13
Hardware Performance Counter-Based Fine-Grained Malware Detection13
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection13
TAMA13
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices13
Event-B Hybridation12
AppAxO : Designing App lication-specific A ppro x imate O 12
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications12
Improving Power of DSP and CNN Hardware Accelerators Using Approximate Floating-point Multipliers12
FFConv12
DEEPEYE11
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX211
CICERO: A Domain-Specific Architecture for Efficient Regular Expression Matching10
Learning Nondeterministic Real-Time Automata10
Horizontal Side-Channel Vulnerabilities of Post-Quantum Key Exchange and Encapsulation Protocols10
A Survey of Blockchain Data Management Systems10
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware10
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration10
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications10
Real-time Attack-recovery for Cyber-physical Systems Using Linear-quadratic Regulator10
Compositional Learning and Verification of Neural Network Controllers10
An Interpretable Machine Learning Model Enhanced Integrated CPU-GPU DVFS Governor10
Dealing with Uncertainty in pWCET Estimations10
Golden Chip-Free Trojan Detection Leveraging Trojan Trigger’s Side-Channel Fingerprinting9
CEDR: A Compiler-integrated, Extensible DSSoC Runtime9
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device9
Demystifying Energy Consumption Dynamics in Transiently powered Computers9
Design Space Exploration for Secure IoT Devices and Cyber-Physical Systems9
Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators9
Towards an Integrated Vehicle Management System in DriveOS9
Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems9
FLASH: F ast Neura l A rchitecture S earch with H ardware8
Fast and Energy-Efficient State Checkpointing for Intermittent Computing8
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements8
Reducing Energy in GPGPUs through Approximate Trivial Bypassing8
MAGNETO8
Determinism8
Synergistically Exploiting CNN Pruning and HLS Versioning for Adaptive Inference on Multi-FPGAs at the Edge8
AHA: An Agile Approach to the Design of Coarse-Grained Reconfigurable Accelerators and Compilers8
DNN Is Not All You Need: Parallelizing Non-neural ML Algorithms on Ultra-low-power IoT Processors8
Horizontal Auto-Scaling for Multi-Access Edge Computing Using Safe Reinforcement Learning8
RT-ZooKeeper: Taming the Recovery Latency of a Coordination Service8
LAMBDA7
An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory7
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory7
Two Birds With One Stone: Boosting Both Search and Write Performance for Tree Indices on Persistent Memory7
SPECTRUM7
Virtualizing a Post-Moore’s Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator7
Synthesis of Flexible Accelerators for Early Adoption of Ring-LWE Post-quantum Cryptography7
Rtkaller: State-aware Task Generation for RTOS Fuzzing7
A Composable Monitoring System for Heterogeneous Embedded Platforms7
SEAMS7
Heterogeneity-aware Multicore Synchronization for Intermittent Systems7
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks7
Domain-specific Hybrid Mapping for Energy-efficient Baseband Processing in Wireless Networks6
Sense Your Power6
Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation6
Efficient Realization of Decision Trees for Real-Time Inference6
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms6
MaxTracker: Continuously Tracking the Maximum Computation Progress for Energy Harvesting ReRAM-based CNN Accelerators6
Energy-efficient Real-time Scheduling on Multicores6
Winograd Convolution for Deep Neural Networks: Efficient Point Selection6
MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory6
Post-Quantum Signatures on RISC-V with Hardware Acceleration6
RiSA: A Reinforced Systolic Array for Depthwise Convolutions and Embedded Tensor Reshaping6
Crab-tree6
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems6
EncoDeep6
Side-channel and Fault-injection attacks over Lattice-based Post-quantum Schemes (Kyber, Dilithium): Survey and New Results6
PhiNets: A Scalable Backbone for Low-power AI at the Edge6
A TCAM-based Caching Architecture Framework for Packet Classification6
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks6
A Distributed Real-time Scheduling System for Industrial Wireless Networks6
Optimization of Signal Processing Applications Using Parameterized Error Models for Approximate Adders5
Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array5
Skills Gaps in the Industry5
DSTL5
Probabilistic Estimation of Threat Intrusion in Embedded Systems for Runtime Detection5
Test Generation for Hardware Trojan Detection Using Correlation Analysis and Genetic Algorithm5
Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors5
??????: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System5
HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology5
Improving the Performance of Hybrid Caches Using Partitioned Victim Caching5
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance5
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks5
Optimus: An Operator Fusion Framework for Deep Neural Networks5
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs5
DIAC5
Approximate Cache in GPGPUs5
Toward Adversary-aware Non-iterative Model Pruning through D ynamic N etwork R ewiring of DNNs5
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems5
Domain-Specific Architectures: Research Problems and Promising Approaches5
Temporal Robustness of Temporal Logic Specifications: Analysis and Control Design5
GMAI5
Beyond Cache Attacks5
Adaptive Computation Reuse for Energy-Efficient Training of Deep Neural Networks5
Hardware Trojan Detection Using Machine Learning: A Tutorial5
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks5
Chauffeur: Benchmark Suite for Design and End-to-End Analysis of Self-Driving Vehicles on Embedded Systems5
UBAR5
Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey4
TAB: Unified and Optimized Ternary, Binary, and Mixed-precision Neural Network Inference on the Edge4
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection4
Trustworthy Autonomous System Development4
REPAIR: Control Flow Protection based on Register Pairing Updates for SW-Implemented HW Fault Tolerance4
Early DSE and Automatic Generation of Coarse-grained Merged Accelerators4
A Vector-Length Agnostic Compiler for the Connex-S Accelerator with Scratchpad Memory4
Reliable and Secure Design-Space-Exploration for Cyber-Physical Systems4
More Is Less: Model Augmentation for Intermittent Deep Inference4
Synthesis-guided Adversarial Scenario Generation for Gray-box Feedback Control Systems with Sensing Imperfections4
Applying Multiple Level Cell to Non-volatile FPGAs4
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators4
Microarchitectural Exploration of STT-MRAM Last-level Cache Parameters for Energy-efficient Devices4
Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs4
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems4
A Configurable CRYSTALS-Kyber Hardware Implementation with Side-Channel Protection4
Scheduling in Real-Time Mobile Systems4
Facilitating Human Activity Data Annotation via Context-Aware Change Detection on Smartwatches4
Energy-efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions4
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems4
On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection4
High-performance Reconfigurable DNN Accelerator on a Bandwidth-limited Embedded System4
ETAP: Energy-aware Timing Analysis of Intermittent Programs4
FARSI: An Early-stage Design Space Exploration Framework to Tame the Domain-specific System-on-chip Complexity4
Minimizing Stack Memory for Partitioned Mixed-criticality Scheduling on Multiprocessor Platforms4
Application-centric Network Management - Addressing Safety and Real-time in V2X Applications4
LPWAN in the TV White Spaces4
MSYNC: A Generalized Formal Design Pattern for Virtually Synchronous Multirate Cyber-physical Systems4
Survey of Control-flow Integrity Techniques for Real-time Embedded Systems4
CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework3
Probabilistic Risk-Aware Scheduling with Deadline Constraint for Heterogeneous SoCs3
Holistic Resource Allocation Under Federated Scheduling for Parallel Real-time Tasks3
SIKE in 32-bit ARM Processors Based on Redundant Number System for NIST Level-II3
Tutorial: Toward Robust Deep Learning against Poisoning Attacks3
Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes3
Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge3
A Framework for Neural Network Architecture and Compile Co-optimization3
Vector Extensions in COTS Processors to Increase Guaranteed Performance in Real-Time Systems3
Structured Proofs for Adversarial Cyber-Physical Systems3
SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs3
On the RTL Implementation of FINN Matrix Vector Unit3
Compiling for the Worst Case3
TrustFlow-X3
Prepare: P owe r -Awar e A p proximate Re a l3
Reconfigurable System-on-Chip Architectures for Robust Visual SLAM on Humanoid Robots3
Cross-Layer Adaptation with Safety-Assured Proactive Task Job Skipping3
How Flexible is Your Computing System?3
Efficient-Grad: Efficient Training Deep Convolutional Neural Networks on Edge Devices with Grad ient Optimizations3
SensorGAN: A Novel Data Recovery Approach for Wearable Human Activity Recognition3
Performance and Power Estimation of STT-MRAM Main Memory with Reliable System-level Simulation3
Risk of Stochastic Systems for Temporal Logic Specifications3
Optimizing Tensor Contractions for Embedded Devices with Racetrack and DRAM Memories3
Federated Self-training for Semi-supervised Audio Recognition3
IoT-Fog-Cloud Centric Earthquake Monitoring and Prediction3
Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC3
An Efficient CNN Accelerator for Low-Cost Edge Systems3
Formally Verified Next-generation Airborne Collision Avoidance Games in ACAS X3
Automatic Generation of Resource and Accuracy Configurable Processing Elements2
Formally Verified Loop-Invariant Code Motion and Assorted Optimizations2
Integrated Hardware Garbage Collection2
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning2
Verified Lustre Normalization with Node Subsampling2
Firmness Analysis of Real-time Tasks2
Hierarchical Resource Orchestration Framework for Real-time Containers2
ViT4Mal: Lightweight Vision Transformer for Malware Detection on Edge Devices2
A Framework for Calculating WCET Based on Execution Decision Diagrams2
Exploring Efficient Architectures on Remote In-Memory NVM over RDMA2
Does SoC Hardware Development Become Agile by Saying So: A Literature Review and Mapping Study2
Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping2
Killing Processes or Killing Flash? Escaping from the Dilemma Using Lightweight, Compression-Aware Swap for Mobile Devices2
A proven translation from a UML state machine subset to timed automata2
Supervisory Control for Dynamic Feature Configuration in Product Lines2
DirectNVM: Hardware-accelerated NVMe SSDs for High-performance Embedded Computing2
Regime Inference for Sound Floating-Point Optimizations2
A review of abstraction methods towards verifying neural networks2
Benchmarking and Configuring Security Levels in Intermittent Computing2
Attack-resilient Fusion of Sensor Data with Uncertain Delays2
A Passive Online Technique for Learning Hybrid Automata from Input/Output Traces2
Application of Logical Sub-networking in Congestion-aware Deadlock-free SDmesh Routing2
D y VED eep2
TyBox: an automatic design and code-generation toolbox for TinyML incremental on-device learning2
L 2 C: Combining Lossy and Lossless Compression on Memory and I/O2
Agile Acceleration of Stateful Hash-Based Signatures in Hardware2
Efficient External Sorting for Memory-Constrained Embedded Devices with Flash Memory2
Brain-inspired Cognition in Next-generation Racetrack Memories2
SHARP: An Adaptable, Energy-Efficient Accelerator for Recurrent Neural Networks2
Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition2
Fine-grained Hardware Acceleration for Efficient Batteryless Intermittent Inference on the Edge2
Enhancing the Energy Efficiency and Robustness of tinyML Computer Vision Using Coarsely-Quantized Log-Gradient Input Images2
DASS: Differentiable Architecture Search for Sparse Neural Networks2
Compositional Timing Analysis of Asynchronized Distributed Cause-effect Chains2
A Machine Learning Methodology for Cache Memory Design Based on Dynamic Instructions2
A Contrastive Plan Explanation Framework for Hybrid System Models2
Protecting Network-on-Chip Intellectual Property Using Timing Channel Fingerprinting2
Interactive Programmatic Modeling2
PHiLIP on the HiL: Automated Multi-Platform OS Testing With External Reference Devices2
Trireme: Exploration of Hierarchical Multi-level Parallelism for Hardware Acceleration2
Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems2
wfspan: Wait-free Dynamic Memory Management2
Creating Hardware Component Knowledge Bases with Training Data Generation and Multi-task Learning2
ACDSE: A Design Space Exploration Method for CNN Accelerator based on Adaptive Compression Mechanism2
Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies2
Introduction to the Special Issue on Memory and Storage Systems for Embedded and IoT Applications2
ARES: Persistently Secure Non-Volatile Memory with Processor-transparent and Hardware-friendly Integrity Verification and Metadata Recovery2
HEART: H ybrid Memory and E nergy- A ware R eal- T 2
Hardware Performance Counters: Ready-Made vs Tailor-Made1
XploreNAS : Explore Adversarially Robust and Hardware-efficient Neural Architectures for Non-ideal Xbars1
A Unified Programmable Edge Matrix Processor for Deep Neural Networks and Matrix Algebra1
Network-level Design Space Exploration of Resource-constrained Networks-of-Systems1
TinyM 2 Net-V2: A Compact Low Power Software Hardware Architecture for M ulti m odal Deep Neural Networ1
Code Generation For Neural Networks Based On Fixed-Point Arithmetic1
Declarative Power Sequencing1
A Hierarchical Hybrid Locking Protocol for Parallel Real-Time Tasks1
Verifying Stochastic Hybrid Systems with Temporal Logic Specifications via Model Reduction1
Toward Object-oriented Modeling in SCCharts1
An Intermediate-Centric Dataflow for Transposed Convolution Acceleration on FPGA1
Multi-bit Data Flow Error Detection Method Based on SDC Vulnerability Analysis1
Code-size-aware Scheduling of Synchronous Dataflow Graphs on Multicore Systems1
Neural Abstraction-Based Controller Synthesis and Deployment1
Challenges and Opportunities of Security-Aware EDA1
TCX: A RISC Style Tensor Computing Extension and a Programmable Tensor Processor1
Hephaestus : Codesigning and Automating 3D Image Registration on Reconfigurable Architectures1
Consistency vs. Availability in Distributed Cyber-Physical Systems1
ATCN: Resource-efficient Processing of Time Series on Edge1
Editorial1
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